AI and Automation
AWEBCs designs and builds custom AI devices and hardware for businesses, from the electronics to the firmware and the software behind it. Tell us what the device must do and we will send you a written quote.
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The problem you are facing
?I have a hardware idea but no idea how to turn it into a working device.
✓AWEBCs builds custom AI and IoT devices to your specification, handling hardware design, software development, and integration so you get a complete, working solution tailored to your needs.
?Off-the-shelf devices don't fit my specific use case or workflow.
✓We design custom hardware and software that aligns exactly with your requirements, ensuring seamless integration with your existing systems and processes, eliminating the compromises of generic solutions.
?I need a device that can run AI models on-site, but I don't have the expertise.
✓Our team develops AI-enabled devices with embedded intelligence, from model optimization to deployment, so you can leverage on-device AI without building an in-house hardware team.
How it works
Consultation: We discuss your requirements and define the device specifications.
Design: We create the hardware and software design based on your needs.
Development: We build and test the prototype, iterating as needed.
Deployment: We integrate the device into your environment and provide support.
At AWEBCs, AI devices and custom hardware work means building the physical unit and the software that makes it useful, as one job. We start from your specification: what the device must sense, decide, display or control, and where it will sit in your premises or process. From there we select the components, write the firmware and the connected application, and plan how the device talks to your existing systems. You get a working build rather than a parts list and a promise.
The work usually combines three layers. The first is the hardware: boards, sensors, cameras, relays, screens, enclosures and power. The second is the edge software that runs on the device, handles readings, applies rules and keeps working when the network drops. The third is integration, where data flows to a dashboard, database or business application. We design each layer against your operating conditions, so heat, dust, power quality and network reliability are treated as design inputs, not afterthoughts.
Custom hardware is not the right answer to every request. If an off-the-shelf sensor or a standard controller already meets your need, we will say so, because a bespoke build only earns its cost when the requirement is genuinely specific. The cases that justify custom work include unusual form factors, mixed sensor types on one unit, on-device decision-making, and connections to software that no vendor supports out of the box. Readiness to consider standard parts first is part of how we keep projects practical.
Buyers searching for ai devices and custom hardware work india should expect a partner who can hold both the electronics and the software conversation. That means documenting the specification, agreeing what the device must do in normal and failure conditions, and testing against those points before delivery. We also plan for maintenance: how firmware updates arrive, how a failed unit is diagnosed, and what spare parts you should keep. These details decide whether a device stays useful after the first month.
Engaging AWEBCs means working from Uttarakhand with a team that can visit, observe your site and adjust the design to what is actually there. We begin with a short discovery conversation, then a written specification you can review and challenge. Only after that do we quote the build. If you are unsure whether your idea needs custom hardware, bring the problem rather than a solution, and we will help you decide which route is sensible.
Most businesses in and around Uttarakhand do not lack data; they lack data at the point where a decision must be made. A temperature reading in a spreadsheet hours later cannot stop a batch from spoiling. A stock count taken manually cannot warn a shopkeeper before a shelf empties. Custom AI and IoT devices close that gap by sensing, deciding and acting on site, in seconds, without someone watching a screen. The device becomes the first line of response, and the dashboard becomes the record.
A second problem is fit. Standard devices assume standard conditions: clean power, steady internet, moderate dust, predictable layouts. In a real factory, cold store, warehouse or field office, those assumptions fail. A custom build can use the enclosure, mounting, power backup and connectivity that your site actually needs, and can keep operating locally when the link to the cloud is down. The result is fewer false alarms and fewer silent failures, which is what usually erodes trust in monitoring systems.
Integration is the third recurring problem. Many businesses already run billing software, ERP modules, attendance systems or spreadsheets that staff depend on. A device that produces data nobody can use adds work rather than removing it. We design the output around the systems you already have, whether that means writing to a database, sending alerts to a messaging channel, or exposing an interface your existing application can call. The aim is one source of truth, not another silo.
Cost control is the fourth. Teams often assume custom hardware is out of reach, then discover the real cost sits in manual checks, downtime and rework. A focused device that automates one repetitive check can pay for itself through time saved and errors avoided. When you ask about ai devices and custom hardware work price india, we break the estimate into hardware, software, integration and support so you can see what drives the figure and choose what to include in a first phase.
Finally, there is the problem of scaling from one unit to many. A pilot that works on a single desk often fails when copied across a site, because configuration, identity and updates were never planned. We treat the first device as a template: how it is provisioned, named, monitored and updated. That discipline is what lets a second and tenth unit follow without a fresh engineering effort each time, and it is the difference between a demonstration and a system.
We build for organisations that have a specific operational problem and are prepared to describe it precisely. That includes manufacturers and processing units that need to monitor machines, conditions or utilities; warehouses and cold stores that need visibility over stock and environment; and service businesses that want to remove a manual log or checklist. The common thread is a task that is repeated, measurable and currently dependent on someone remembering to do it.
Small and mid-sized businesses are a natural fit, because they often cannot justify a large platform purchase but can justify a targeted device. A single unit that watches a critical parameter, or a small fleet that covers a defined area, is within reach when the scope is kept tight. We work with owners and managers directly, in plain language, and we are honest when a simpler fix, such as a better process or an off-the-shelf sensor, would serve you better than a custom build.
We also work with teams that already have software and need hardware to feed it. If you run an application, a dashboard or an internal tool, we can design devices that deliver clean, structured data into it. In these projects the specification work centres on data format, timing, error handling and security, and we involve whoever maintains your software early. That avoids the familiar situation where hardware arrives and the integration is discovered to be someone else's problem.
Institutional and field buyers are another group we serve: offices, educational settings, agricultural operations and facilities that need monitoring across dispersed locations. These projects place a premium on ruggedness, simple operation by non-technical staff, and remote visibility of device health. We design the interface and the alerting around the people who will actually use the unit, and we plan training and documentation as part of the delivery rather than an optional extra.
If you are evaluating ai devices and custom hardware work india providers, the practical test is whether they will ask about your site, your staff and your existing systems before proposing hardware. We do. We will also tell you what we would not build, and why. That conversation costs you nothing and usually sharpens the requirement, whether or not you proceed with AWEBCs.
Every build begins with a written specification that lists the sensors and actuators, the decisions the device must make, the conditions it must survive and the data it must produce. From that document we choose components with availability and service life in mind, not just capability. Enclosures, mounting and cable routing are selected for the installation site. You review and approve the specification before hardware is ordered, so changes are cheap at the stage when they should be cheap.
On the software side, devices run edge logic that keeps working without a network. Readings are buffered locally, rules are applied on the device, and only meaningful events and summaries are sent onward. This reduces bandwidth, avoids gaps during outages and keeps response times short. We include configuration options so thresholds and behaviour can be adjusted in the field without a rebuild, and we document every setting so your team knows what each one does.
Integration features are designed around your existing tools. Devices can write to a database, call an application interface, publish to a message channel or feed a dashboard, depending on what your software expects. We agree the data format and frequency with you in advance and test against a copy of the receiving system where possible. Security basics are built in: unique device identity, encrypted transport, controlled update paths and no shared default credentials left in place.
Operational features matter as much as technical ones. We provide device health reporting so you can see whether a unit is online and functioning, not merely powered. Alerts are routed to the people who can act, with clear wording that says what happened and what to check. Physical design considers service access, indicator lights and labelling so a technician can diagnose a fault without specialist tools. Spare parts and replacement guidance are agreed before handover.
Finally, we are transparent about what the build does not include. Custom hardware is engineered to a defined scope, and we list assumptions and limits in the specification. When buyers ask about ai devices and custom hardware work price india, we show how features such as rugged enclosures, backup power or additional sensors affect the estimate, so you can prioritise. You leave with documentation covering the design, the settings and the support arrangements.
Deployment starts with a site survey. We look at power, mounting points, network coverage, environmental conditions and who will interact with the device. Where a site visit is not practical, we work through a structured checklist with your team and ask for photographs and measurements. The output is a short installation plan that names the location, the connections, the commissioning steps and the person responsible on your side. This prevents surprises on the day the hardware arrives.
Next comes build and bench testing. Each unit is assembled, powered and exercised against the specification before it leaves us. Sensors are checked against known references where possible, edge logic is tested with simulated inputs, and the integration is verified against a test endpoint. We record the results and share them with you. Faults found at this stage are inexpensive to fix; faults found on site are not, which is why we do not skip this step.
Installation and commissioning follow the plan. We mount and connect the device, confirm power and network behaviour, load the configuration and run a live test of the full path from sensor to your receiving system. Your staff are shown how to read the indicators, respond to alerts and report a problem. We agree a short observation period during which readings are compared with reality, so any calibration or threshold adjustment happens while we are still closely involved.
After handover, support arrangements take over as agreed in the project. That typically covers how firmware updates are delivered, how faults are reported and what response you can expect. We provide documentation for the device and the integration, and we keep a record of the configuration so a replacement unit can be brought up quickly. If your requirements change, we discuss whether the existing unit can be reconfigured or whether a new revision is the sensible route.
Before you commit, ask us the questions that matter to you: what happens when the network fails, who can change settings, how updates are tested, and what the ongoing support involves. We answer them in writing as part of the specification. If you are comparing providers for ai devices and custom hardware work india, use the same questions with each of them. Clear answers about deployment and support are a better guide than a feature list.
Pricing for custom AI and IoT hardware starts with scope, not a catalogue. We first map what the device must sense, compute, connect and display, because each function adds components, board area and engineering hours. A simple sensor node with a microcontroller differs sharply from a unit running on-device inference. Expect the quote to separate hardware bill of materials, enclosure and assembly, firmware, cloud or edge software, integration and testing. Ask for that breakdown in writing so you can see what drives the total and where scope could be trimmed without breaking the design.
The hardware bill of materials is usually the most transparent line. It covers the processor or system-on-module, sensors, radios, power management, connectors, PCB fabrication and the enclosure. Component choice moves cost more than most buyers expect: a faster module, a cellular radio instead of Wi-Fi, or an industrial-rated enclosure each shifts the figure. Volume matters too, since small runs carry higher per-unit fabrication and assembly charges. When you ask about ai devices and custom hardware work cost india, request per-unit pricing at several quantity bands so you can see how scale changes the picture before committing.
Engineering effort is the part buyers underestimate. Firmware development, driver work, model training or tuning, integration with your existing systems, and the test rigs needed to validate behaviour all consume time. We estimate these as defined tasks with assumptions stated, so you can challenge any that seem unnecessary. If your requirements are still vague, a short paid discovery phase is cheaper than building against guesses. Ask for effort estimates by phase, and confirm what happens if requirements change mid-build, since rework is the most common reason budgets drift.
Certification, testing and compliance add cost that is easy to overlook. Depending on your market and use, you may need electrical safety checks, radio approvals, environmental testing or ingress protection ratings. These are external costs plus the engineering time to prepare samples and fix failures. We flag likely requirements during scoping rather than after the prototype, because retrofitting compliance into a finished design is expensive. Ask early which certifications apply to your product and destination market, and budget a contingency for retesting, since first-pass failures are common in hardware.
Finally, treat the quote as a snapshot tied to assumptions. Component availability and lead times shift, and a quote built on today's parts may need revision if a supplier discontinues something. We document assumptions, exclusions and validity periods so there are no surprises. Before approving, check what is included in warranty, what spares you receive, and whether the design files transfer to you. If the total feels high, ask which features could move to a later phase. A phased build often delivers a working device sooner at lower initial outlay.
Support begins before deployment, not after. Before your device ships, we agree what support means in practice: response times, contact channels, who is on call, and what counts as a fault versus a change request. Write this into a simple service agreement so both sides know the rules. Decide who monitors the fleet, who receives alerts, and who can authorise a remote fix. Devices in the field fail in ways labs never show, so plan for a first-line triage process and a clear escalation path to engineering.
Remote diagnostics save time and travel. Where connectivity allows, build in logging, health telemetry and the ability to push firmware updates safely, with rollback if an update misbehaves. This lets many issues be diagnosed and fixed without visiting the site. It also means you should think about update security from day one, since an unprotected update channel is a risk. Ask how logs are stored, how long they are retained, and who can access them. Confirm that a failed update cannot brick a device left in the field.
Spares and replacement strategy matter for uptime. Keep a small stock of critical components and a few complete units for swap-out, so a faulty device can be replaced quickly while the original is repaired. Document the repair procedure and label internal parts clearly. For devices in remote or harsh locations, a swap is often faster than an on-site fix. Agree in advance who holds spares, how they are shipped, and how returned units are handled. This is especially important if your deployment grows beyond the first batch.
Training and documentation reduce dependence on us. You should receive wiring diagrams, configuration guides, a maintenance checklist and a troubleshooting guide written for your team, not generic notes. Where useful, we run a handover session so your staff can perform routine checks, restart procedures and basic fault isolation. Good documentation also protects you if you later change suppliers. Ask for it as a deliverable in the contract, and review it before final acceptance so gaps are closed while the build team still has full context.
Plan for the end of life as well as the start. Devices have finite support windows, and components get discontinued. Agree how long firmware support lasts, what happens when a part becomes unavailable, and whether you receive the source code, design files and credentials needed to continue independently. If you are comparing providers for ai devices and custom hardware work company india, ask each one how they handle long-term support and knowledge transfer. A clear exit plan is a sign of confidence, not a warning sign.
Security for connected devices starts with a threat model. Before choosing components, list what the device senses, what data it holds, where that data travels, and who could benefit from interfering with it. A camera, a door controller and a temperature logger face very different risks. From that list, decide which data must be encrypted at rest, which must be encrypted in transit, and which can be discarded quickly. Doing this early shapes the hardware and firmware choices instead of bolting protection on afterwards.
Device identity and access control are foundational. Each unit should have a unique identity and credentials that are not shared across the fleet, so one compromised device does not expose the rest. Avoid default passwords and hard-coded secrets in firmware. Provision keys during manufacturing and store them in protected memory where the hardware supports it. On the network side, restrict what each device can reach, so a compromised sensor cannot roam freely into other systems. Review these settings with your team before deployment, not after.
Firmware updates are both a security control and a risk. Signed updates prevent attackers from installing modified code, and staged rollouts limit the damage if something goes wrong. Keep an inventory of firmware versions across the fleet so you know which units are exposed when a vulnerability is announced. Decide who is responsible for monitoring advisories and how quickly patches are applied. If your device handles personal data, check your obligations under applicable data protection law, and document what you collect, why, and how long you keep it.
Data handling extends beyond the device. Decide whether data is processed on the device, at the edge, or in the cloud, because each option changes exposure. Minimise what leaves the device and strip identifiers where full detail is not needed. Encrypt stored data, control access to dashboards and logs, and keep audit trails of who viewed or changed what. If third-party cloud services are involved, confirm their security posture and data location. Ask for a written data flow diagram so you can see every hop your information takes.
Testing and ongoing vigilance close the loop. Before launch, test for weak credentials, open ports, unencrypted channels and update failures. After launch, monitor for unusual behaviour and review access logs periodically. Security is not a one-time checklist; it needs an owner inside your organisation and a routine for reviewing patches and permissions. When briefing an ai devices and custom hardware work company india, ask how they test security and what they hand over. Clear answers about testing and documentation tell you more than claims about being secure.
Custom hardware is powerful but not unlimited. Physics constrains what a small device can do: battery capacity limits runtime, antennas need space, and processors generate heat that must go somewhere. If your requirement assumes a palm-sized unit running heavy models for days on a coin cell, that is a signal to revisit the brief. We tell you early when a requirement conflicts with physical limits, because agreeing a realistic target at the start is far cheaper than discovering the gap after tooling and fabrication.
On-device AI has real boundaries. Models that run comfortably on a device are typically smaller and more specialised than cloud models. Accuracy, latency and power trade against each other, and there is often a ceiling on how much can be squeezed into constrained memory. Some tasks are better split, with simple detection on the device and deeper analysis elsewhere. Be sceptical of any plan that promises full cloud-grade capability on minimal hardware without evidence. Ask for a prototype benchmark before committing to a production run.
Timelines and volumes have limits too. Custom electronics involves design, fabrication, assembly and testing cycles, and each stage needs time for iteration. Small production runs carry higher per-unit costs and fewer supplier options. Component shortages can delay a build even when the design is finished. Plan for a prototype phase, a validation phase and then production, and expect the schedule to flex. If a supplier promises an unrealistically short path from idea to shipped units, ask what they are assuming and what happens if a part is delayed.
Integration limits are frequently underestimated. Your new device must talk to existing systems, and those systems may have old interfaces, undocumented behaviour or restrictive policies. Sometimes the hardest work is not the hardware but making it cooperate with software you do not control. Identify those dependencies during scoping and test them early with a bench prototype. If a third-party system owner is slow to grant access, that becomes a schedule risk you should track openly rather than discover at the end.
Finally, custom work is not always the right answer. If an off-the-shelf device meets most of your needs, adapting your process may cost less than building new hardware. We say so when it is true, because a build that should not happen wastes everyone's budget. The honest limits are scope, physics, time and money, and a good partner names them plainly. Bring us the requirement and we will tell you what is achievable, what needs compromise, and where a standard product would serve you better.
Off-the-shelf hardware wins on speed and cost when your need is common. A ready-made sensor, camera or gateway arrives configured, carries existing certifications and can be deployed in days. The trade-off is fit: you adapt your process to the product's interfaces, form factor and features, and you accept whatever update and support policy the vendor offers. For standard monitoring or simple automation, this is often the sensible choice. Start by asking whether an existing product covers most of your requirement, and only then consider building.
Cloud-only AI suits problems where connectivity is reliable and data volume is manageable. Sending data to a central service gives access to larger models, easier updates and less device complexity. The drawbacks are dependence on the network, recurring service costs, and latency that may not suit real-time control. Privacy-sensitive data leaving your site also needs careful handling. Cloud-only is a poor fit for remote sites with intermittent connectivity or for decisions that must happen in milliseconds. Match the architecture to the environment, not to fashion.
Custom AI devices make sense when the requirement is genuinely specific. If you need a particular sensor combination, a defined enclosure for a harsh location, on-device decisions for latency or privacy, or integration with systems no standard product supports, building gives you control. You also own the roadmap, so features are added when you need them rather than when a vendor chooses. The cost is engineering time and a longer path to first deployment. Be clear about which of these drivers actually applies to you before committing.
A hybrid approach often beats either extreme. Run lightweight detection on the device to filter and protect data, then send only what matters to a cloud or on-premise service for deeper analysis and dashboards. This reduces bandwidth, keeps sensitive raw data local where needed, and still gives you central visibility. Designing the split requires care: decide what runs where, how the two sides stay in sync, and what happens when connectivity drops. Test the fallback behaviour deliberately, because partial connectivity is the normal case in the field.
Choosing between these paths is a scoping decision, and it helps to write your requirements down before comparing options. List must-have functions, environment, connectivity, data sensitivity, expected volume and budget range. With that in hand, an off-the-shelf product, a cloud-only design and a custom build can be judged on the same criteria. We are happy to review your list and recommend the least complex option that works. Sometimes that is custom hardware; sometimes it is a standard device with a small integration layer.
The most frequent mistake is starting with hardware before defining the decision the device must make. Teams order enclosures and sensors, then discover the data they can capture does not answer the operational question they care about. Begin by writing one paragraph describing what the device should detect, decide or report, and who acts on that output. If you cannot state the outcome in a sentence, the specification is not ready and any quote you receive will be guesswork.
A second common error is treating connectivity as an afterthought. A device that works on a bench may fail in a warehouse with weak Wi-Fi, a factory floor with electrical noise, or a field site with intermittent mobile coverage. Decide early whether the device needs local processing, buffering during outages, or a cloud link. Check what happens when the network drops: does the device keep logging, retry, or stop entirely? Ask for help when your site conditions are unusual.
Buyers also underestimate power and thermal budgets. Adding a camera, a cellular modem or a small compute board changes current draw and heat, which affects battery life and enclosure design. List every component's power needs and the duty cycle you expect. If the device must run unattended for long periods, confirm the power plan before committing to a form factor. This is the point where a hardware review saves the most rework.
Another mistake is skipping pilot testing with real users. A prototype that behaves correctly in a lab often confuses operators in the field. Run a small pilot where staff use the device in their normal workflow and record where they hesitate or work around it. Collect that feedback in writing. Teams exploring ai devices and custom hardware work for business india often find that operator feedback, not technical performance, decides whether a deployment succeeds.
Finally, businesses underestimate the software and integration effort. The device is one part; dashboards, alerts, data storage and connections to existing systems take comparable time. Plan for who maintains firmware, who monitors devices, and how updates are delivered. If no one on your team owns that responsibility, raise it before the build starts rather than after delivery.
Start by checking whether the partner can cover both hardware and software. A vendor who designs boards but cannot write firmware or integrate with your systems will hand you a device that needs another supplier to become useful. Ask who writes the device software, who builds the backend, and who handles integration with your existing tools. Clear answers across all three areas are a good sign; vague ones usually mean subcontracting you will not see.
Ask to see how the partner documents a specification. A reliable partner will turn your requirements into a written scope covering sensors, compute, connectivity, enclosure, power, software features and acceptance criteria. Review that document carefully. If it lists deliverables without describing how each will be tested, ask for the test method. You should be able to point at each line and say how you will know it is done.
Discuss the pilot and iteration process before signing. Custom hardware rarely works perfectly on the first build, so you want a partner who plans for revision cycles and tells you what each cycle costs and how long it takes. Ask what happens if a component is unavailable or a sensor underperforms in your environment. A partner who answers these questions plainly is easier to work with than one who promises everything will be fine.
Check support and handover terms. Find out whether you receive source code, schematics, and documentation, and under what conditions. If the partner retains everything, your ability to maintain or modify the device later is limited. Also ask about warranty on hardware and response times for faults. For buyers comparing ai seo services india alongside device work, confirm whether digital marketing support is a separate engagement or bundled, so expectations stay clear.
Finally, verify domain understanding. A partner who has worked with industrial sensors, retail counters or field equipment will ask better questions about your environment. Ask how they would approach your specific use case and listen for practical detail about installation, calibration and maintenance. If the answers stay generic, request a short paid discovery phase before committing to a full build.
Buyers often ask how long a custom device takes. The honest answer depends on complexity: a simple sensor with a dashboard differs greatly from a device with cameras, edge processing and multiple integrations. Ask your partner to break the timeline into discovery, prototype, pilot and production stages, with a review point after each. Treat any single fixed date without stage breakdowns with caution, and plan your own rollout around the review points rather than the final date alone.
Another frequent question is whether off-the-shelf hardware can be adapted instead of building from scratch. Often it can, and that is usually cheaper and faster. A good partner will tell you when a ready-made device plus custom software meets your need. Custom design makes sense when your environment, form factor, sensor mix or integration requirements rule out standard products. Ask for a comparison of both routes before you decide.
People also ask about data ownership and security. Confirm in writing who owns the data the device collects, where it is stored, and who can access it. Ask how device credentials are managed, how firmware updates are authenticated, and what happens if a device is lost or stolen. These questions are easier to answer at the design stage than to retrofit later, so raise them during scoping rather than after deployment.
Cost questions are common, and the useful answer explains what drives cost: component choice, enclosure complexity, certification needs, software scope and volume. Ask for a breakdown rather than a single figure, and ask how cost changes if you adjust quantity or drop a feature. This helps you prioritise. It also protects you from surprises when a component substitution or additional testing becomes necessary mid-project.
Finally, buyers ask about maintenance after handover. Clarify who monitors devices in the field, how faults are reported, and how updates reach units already installed. Ask for documentation that lets your own team handle routine checks. If you plan to scale, confirm the process for producing and configuring additional units so growth does not require renegotiating the entire arrangement.
Our work begins with a requirements phase where we sit with your team and define what the device must sense, decide and report. We document the operating environment, power availability, connectivity conditions and the people who will use the output. That document becomes the reference for design and testing. Nothing is ordered or built until you have reviewed and approved this scope, so expectations are set before costs are committed.
From there we handle hardware specification and prototyping: selecting sensors and compute modules, designing the enclosure and power plan, and assembling a working prototype for you to test. We also write the device firmware and the software that receives and presents data, including dashboards and alerts where your use case needs them. Integration with your existing systems is part of the scope when you identify those systems during requirements.
Testing is built into the process. We test the prototype against the acceptance criteria agreed in the requirements document, including behaviour during connectivity loss and under the environmental conditions you described. You receive the results and the chance to run your own pilot with real users. Feedback from that pilot feeds into the next revision. We tell you plainly what passed, what needs adjustment and what remains uncertain.
We also prepare handover materials: documentation describing the device, its software, and how to operate and maintain it. Where agreed in the contract, source code and design files transfer to you. For clients who also need visibility for the product online, we can discuss ai seo services india as a separate service, but it is quoted and delivered independently of the hardware engagement so each scope stays clear.
Throughout the project you have a named point of contact and scheduled review points. You will know what stage the work is at, what decisions are waiting on you, and what happens next. If a component becomes unavailable or a test reveals a problem, we raise it with options rather than absorbing it silently. The aim is a device your team can operate confidently after delivery.
Our device work does not include regulatory certification unless it is explicitly written into the scope. Depending on your market and device type, you may need electrical safety, radio or other approvals, and those involve external laboratories with their own timelines and fees. We can help you identify what is likely required and prepare documentation, but we do not issue certificates. Confirm certification needs early, because they can affect design choices.
Mass manufacturing and fulfilment are outside the standard engagement. We deliver a working prototype and the documentation to take it further, but arranging production tooling, large-volume assembly, packaging and shipping is a separate activity. If you need a manufacturing partner, we can discuss what to look for, but we do not act as your factory. Plan the production route before the prototype is finalised so design decisions suit the manufacturer you choose.
Ongoing field support is not automatic. Monitoring devices after installation, replacing failed units and managing a live fleet require an arrangement we agree separately. Without that, responsibility for day-to-day operation sits with your team. Decide before handover who watches for faults and how replacements are handled. If you want us to provide that service, raise it during scoping so it can be quoted properly.
We do not supply or manage the underlying network, cloud accounts or third-party subscriptions the device relies on. Mobile data plans, hosting fees and software licences are your accounts and your costs unless we agree otherwise in writing. This keeps ownership with you, but it means someone on your side must manage renewals and access. We will tell you what is needed; we will not silently absorb those accounts.
Finally, we do not promise business outcomes such as increased sales or reduced downtime. We deliver a device that meets the agreed specification and report test results honestly. Results in your operation depend on how the device is deployed and used. If a partner guarantees commercial results before understanding your environment, treat that as a warning sign and ask for the evidence behind the claim.
A realistic timeline starts with a written scope, not a verbal idea. Before any date is promised, we define what the device must sense, compute, display and connect to, plus the environment it will run in. This discovery step usually takes the longest relative to effort, because every later estimate depends on it. Ask for the scope document and read it yourself. If a supplier quotes a delivery date before understanding your inputs, outputs and network, treat that date as a placeholder rather than a commitment.
Design and prototyping follow in stages: electronics selection, enclosure and thermal layout, firmware for the sensors, and the AI model or rules that turn raw readings into useful output. Each stage produces something you can inspect, such as a schematic, a working breadboard, or a test log. Review these checkpoints rather than waiting for a final box. Catching a wrong sensor range or an underpowered board at prototype stage is far cheaper than discovering it after tooling and assembly are arranged.
Software and integration usually run in parallel with hardware. Plan for the device firmware, the cloud or on-premise backend, dashboards, and the interface to your existing systems. A common delay is data: the model needs representative samples from your site, and collecting them takes calendar time you cannot compress. Where teams need a partner for the application layer, an ai app development company india can cover model work and dashboards while hardware proceeds, but confirm who owns each interface and test it early.
Pilot units come next. Build a small batch, deploy them in the real environment, and measure behaviour over a defined period. Watch for heat, power stability, wireless dropouts, false readings and operator confusion. Write down pass and fail criteria before the pilot begins so the decision to proceed is objective. Only after the pilot passes should you approve volume build, and only then ask for a firm delivery schedule covering components, assembly, testing and shipping.
Delivery includes more than the box arriving. Budget time for configuration, labelling, installation, acceptance testing and handover documentation. Ask what happens if a component is delayed, what spares ship with the first batch, and how firmware updates will reach devices in the field. Keep a written acceptance checklist signed by both sides. If any stage is skipped to save time, record the risk and decide consciously, because undocumented shortcuts tend to surface during the first busy production week.
Migration succeeds when the old and new systems run side by side before the old one is switched off. Begin with an inventory: every existing device, its firmware version, the data it produces, the systems consuming that data, and the people who depend on it. This sounds tedious, but it exposes hidden dependencies such as a spreadsheet fed by a serial port or a legacy controller nobody documented. Share this inventory with us so the custom device is designed to fit the real environment, not an assumed one.
Next, map the data paths. For each reading or command, note where it originates, its format, its frequency and its destination. Decide which paths stay unchanged, which are translated, and which are retired. Translation layers are often needed during transition, and they should be temporary and documented. Check that timestamps, units and identifiers match between old and new, because silent mismatches in units or time zones cause some of the most confusing early failures in any migration.
Run a parallel period with both systems active. Compare outputs daily and log every discrepancy with the conditions that produced it. This is the point to test edge cases: power cuts, network loss, sensor saturation, and operator error. Where the new device depends on cloud services or an application layer, confirm latency and offline behaviour. Teams building that layer often engage an ai app development company india for the application and analytics side, but insist that acceptance tests cover the combined system, not each part in isolation.
Plan the cutover as a short, reversible event. Choose a low-demand window, keep the old system powered and ready, and define who can call a rollback and how. Brief operators on what changes in their daily routine and what to do if the new device shows unexpected values. After cutover, keep the old system available in read-only mode for a defined period, then decommission it deliberately, including removing credentials and archiving its historical data in a format you can still open later.
Finally, capture lessons in a short migration report: what was assumed, what proved true, which translations remain, and what monitoring now covers the gaps. This document helps future staff and makes the next hardware refresh easier. If your team lacks capacity to run parallel testing or maintain both systems, ask for help early rather than compressing the parallel period. Migration risk is mostly about the overlap, so protect that overlap in your schedule and budget.
Training should start before the devices are fully deployed, using prototypes or pilot units. People learn faster when they can press buttons and see real readings. Structure sessions around tasks rather than features: how to start a shift, check device health, read the dashboard, respond to an alert, and report a fault. Keep each session short and hands-on, and leave written quick-reference cards at the workstation. Ask operators what confuses them and revise the interface or the documentation accordingly, because their feedback is cheaper than repeated support calls.
Cover the limits of the system honestly. A custom AI device produces outputs based on the data it was trained or configured with, and it can be wrong when conditions change. Train staff to recognise when a reading looks implausible and what to do next: verify manually, log the event, and escalate. Make clear who is authorised to change settings, thresholds or firmware. Without that boundary, well-meaning adjustments can silently degrade accuracy and make later troubleshooting much harder for everyone involved.
Assign internal champions for each shift or site. These are the people others ask first, so give them deeper training on wiring checks, basic diagnostics, log collection and the escalation path. Provide them with a simple fault-report template: what happened, what the device showed, what was expected, and what was tried. Good reports shorten remote diagnosis considerably. Review a few reports together in the first weeks so the template is used consistently and champions feel supported rather than left to absorb every question alone.
Documentation matters as much as the sessions. Keep a current device manual, a wiring and network diagram, a list of credentials owners, and a change log for settings and firmware. Store it where staff can reach it, not only with the supplier. Record short videos of common procedures if your team prefers that format. When new staff join later, the documentation and the champion network become the training programme, so treat both as deliverables of the project rather than optional extras to be written up when time allows.
Refresher training should follow any firmware update, interface change or new integration. Schedule a brief review after each significant change and collect questions in advance. If your team is small or spread across shifts, ask for train-the-trainer support so knowledge stays in-house. Measure training by observing tasks, not by attendance sheets: can the operator complete the routine without help, and can the champion diagnose a simple fault? Those two answers tell you whether the investment in training has actually landed.
A maintenance plan begins with a register of every device, its serial number, location, firmware version, installation date and the person responsible for it. Keep this register accurate and update it whenever hardware moves or is replaced. From the register, define routine checks: physical inspection, cleaning of sensors and vents, power and cabling checks, connectivity tests and verification that readings remain within expected ranges. Set intervals that match the environment, since dusty, hot or vibrating sites need more frequent attention than clean offices.
Firmware and software updates need their own schedule and controls. Decide who approves an update, how it is tested before wide release, and how rollback works if something breaks. Stagger updates across devices so a faulty release cannot take everything offline at once. Keep a change log recording what was updated, when, and by whom. For devices running AI models, also track when the model was last validated against current conditions, because accuracy can drift as the process, materials or environment change around it.
Spares and response times should be agreed in writing. Identify which components are most likely to fail and keep a small stock of them, along with any special tools needed for replacement. Define what counts as a fault, how it is reported, and the expected response window for remote diagnosis versus on-site attendance. If your team handles first-line checks, agree exactly which steps they perform before escalating. Clear division of responsibility prevents the frustrating situation where each side assumes the other is investigating.
Monitoring should be proactive where possible. Simple health signals such as device heartbeat, power status, error counts and data freshness can warn you before an operator notices a problem. Set alert thresholds and route them to named people, with an escalation path if nobody responds. Review alerts periodically to remove noise and add missing checks. Avoid drowning staff in notifications; a small number of meaningful alerts, each tied to a clear action, works far better than a constant stream that people learn to ignore.
Review the whole plan at a fixed interval, at least annually, and after any major incident. Look at fault history, downtime, recurring issues and whether spares were actually used. Adjust intervals, thresholds and stock levels based on what happened. If internal capacity for maintenance is thin, ask for a supported plan with defined scope rather than an informal arrangement. A written plan with owners, schedules and escalation steps keeps custom hardware reliable long after the excitement of deployment has faded.
Start by writing a one-page problem statement. Describe what you want the device to do, where it will operate, what data it must capture, who will use the output and what decision it should support. Include constraints such as power availability, network coverage, enclosure requirements and any systems it must connect to. This page does not need technical language; clarity matters more than polish. Bring it to the first conversation, because a precise problem statement shortens discovery and reduces the risk of building something impressive that solves the wrong problem.
Gather whatever data or samples you already have. Historical readings, photos of the site, existing device manuals and sample reports all help. If no data exists, say so early, because collecting it becomes part of the plan. Also list the people who will be affected: operators, maintenance staff, IT and management. Their availability for reviews and testing affects the schedule as much as engineering does. Identify a single point of contact on your side who can make decisions and gather feedback without long delays.
In the first meeting with AWEBCs, we will walk through your statement, ask questions about the environment and integration points, and outline a discovery phase with defined outputs. Expect discussion of what is feasible, what is uncertain, and what needs testing before commitment. We work from Uttarakhand, India, and support clients remotely and on site as the project requires. Come prepared to talk about budget range and priority, since both shape the recommended approach far more than any wish list does.
After discovery, you should receive a proposal covering scope, stages, deliverables, assumptions, dependencies and acceptance criteria. Read the assumptions carefully; they define what is included. Ask for clarification on anything vague, especially around data ownership, firmware updates, warranties and support after handover. Compare proposals on the clarity of scope and testing, not only on headline figures. If you need application or analytics work alongside the hardware, mention it now so the plan covers the full system rather than leaving a gap between device and dashboard.
To proceed, confirm the scope, nominate your point of contact, and agree a start date for discovery. Keep the project's decision log and document register from day one, and schedule regular short reviews rather than rare long ones. If internal approvals take time, tell us so milestones are set realistically. The aim of these first steps is a shared, written understanding of what success looks like, so that building, testing and handover can proceed without surprises. Contact AWEBCs when your problem statement is ready.
Questions
There is no fixed rate, because every custom AI and IoT device is built to your specification with software and integration. The price depends on what the device must do, the sensors and parts it needs, the software behind it, and how it connects to your existing systems. AWEBCs scopes your requirement first and then quotes.
Cost rises when the device needs more components, more complex software, or deeper integration with your existing systems. A straightforward device with a small set of functions costs less than one that must sense, process and report across several systems. Every added requirement changes the work and therefore the price.
No fixed price list applies, because each project is scoped from your specification. AWEBCs is an IT and web consultancy in Uttarakhand, India, and we quote after understanding what the device must do, what software it needs and how it integrates. The quote reflects your actual requirement rather than a generic package.
We need your specification: what the device should do, where it will be used, which data it must collect, and which systems it must connect to. We also need your service list and rules where the device involves an AI assistant. With that detail, AWEBCs can scope the work and give you a clear quote.
Yes. Custom AI and IoT devices are delivered with software and integration, so the software side is part of the price. More flows, more channels, more rules and more testing with sample conversations all add work. A device with simple software costs less than one with complex logic and multiple integrations.
Each channel you connect, such as your website, WhatsApp or another platform, adds setup and testing work, so it affects the quote. A single channel is simpler than several. AWEBCs connects the assistant to the channels you choose, and the scope of that connection is reflected in the price we give you.
Integration is part of the custom work, so it is included in the scope we quote. The effort depends on which systems the device or assistant must connect to and how they exchange data. AWEBCs reviews your setup first, then prices the integration work as part of the overall project.
Setup includes collecting your service list, common questions and the rules the assistant must follow, building the flows, testing with sample conversations, and connecting it to your channels. This work is part of the project and is reflected in the quote. AWEBCs does this with you before launch.
In the opening weeks after launch, we go through the logs together and refine the responses as part of the engagement. How this is priced depends on the scope agreed at the start. AWEBCs will set out clearly what is included in the quote so you know what the review period covers.
A small business pays for the specification it needs, not a standard rate. A modest device with limited functions and simple software costs less than a multi-channel system with deep integration. AWEBCs scopes your requirement and quotes accordingly, so the figure matches the work involved.
Because each device is built to your specification, with software and integration shaped around your requirement. Two projects with different functions, parts, channels or integrations involve different amounts of work. A flat price would either overcharge simple projects or undercharge complex ones, so AWEBCs quotes per scope.
The handover logic is part of the rules and flows we build with you. Defining when the assistant must stop and pass the lead to a person during working hours adds design and testing work, which is reflected in the quote. AWEBCs sets these rules with you before launch.
Yes, testing with sample conversations is part of the build. We build the flows and test them before launch so the assistant behaves as agreed. The testing effort depends on how many rules and flows your project has, and that is captured when AWEBCs scopes and prices the work.
The assistant answers at once whenever an enquiry arrives, so the price is not based on the hour but on the scope: your service list, questions, rules, channels and integrations. AWEBCs builds and tests the flows around your enquiry pattern, and the quote reflects that work.
You can discuss a phased scope with AWEBCs. Starting with fewer functions, channels or integrations keeps the first phase smaller, and more can be added later as separate work. Each phase is quoted on its own scope, so you control what you commit to at each stage.
The price depends on which channels you choose and how the assistant must behave on each. Connecting one channel with straightforward flows takes less work than several channels with complex rules. AWEBCs reviews your channel plan and includes the connection work in the project quote.
Both are scoped from your specification, and both are quoted after review. Hardware work depends on the parts and functions the device needs, while software and integration depend on flows, channels and rules. AWEBCs combines both into one quote for the complete project.
Share your specification with AWEBCs: what the device must do, which systems it must connect to, and any assistant rules and channels involved. We review it and quote based on the actual work. Headquartered in Uttarakhand, India, AWEBCs serves clients throughout the country
The requirement discussion is how we scope your project, and any charges are agreed before work begins. AWEBCs collects your service list, common questions and rules, then quotes the build. You will know what is included and what it covers before you commit to the project.
Changes after the build are new work, so they are quoted separately based on what you want changed. The original quote covers the agreed specification. AWEBCs will review the change with you and give a clear price before any additional work starts.
More rules mean more design and testing, so the quote reflects that. Simple rules with a few common questions take less work than detailed rules covering many situations and handover conditions. AWEBCs sets the rules with you before launch and prices the build around them.
Where the lead details are stored is decided with you during scoping, and that decision shapes the integration work in the quote. AWEBCs connects the assistant to your chosen setup so leads reach your team. The storage arrangement is agreed before the build begins.
Fewer channels, simpler rules, a shorter service list and lighter integration all reduce the work and therefore the price. A project that must answer many questions, follow detailed rules and connect to several systems costs more. AWEBCs quotes each project on its own scope.
AWEBCs is an IT and web consultancy, and the AI and automation work covers custom devices and assistants built to your specification. Any related web or search work would be discussed and scoped separately, with its own quote, so you know exactly what each part of the engagement covers.
The software is part of the custom build, so it is included in the scope we quote. The effort depends on what the software must do, how it integrates with the device and which systems it talks to. AWEBCs reviews your requirement and prices the combined device and software work.
The timeline depends on your specific requirements, but we follow a structured process: gathering your service list and rules, building and testing flows, integrating with your channels, and reviewing logs. We do not commit to a fixed number of days upfront because each project is scoped individually after understanding your needs.
The first step is a requirements conversation where we collect your service list, common questions, and the rules the assistant must follow. This ensures the assistant is built on your actual business information and can handle enquiries correctly from day one.
Connection time varies based on your existing systems and the channels you choose. We handle the integration as part of the setup, ensuring the assistant works seamlessly with your website, WhatsApp, or other channels. The exact duration is confirmed during scoping.
No technical setup is required from you. We guide you through providing the necessary information—your service list, prices, script, and rules—and then we handle the technical build, testing, and integration. You only need to be available to review and approve the flows.
Testing is done with sample conversations to ensure the assistant follows your rules and answers correctly. The duration depends on the complexity of your flows, but we complete testing before launch. We review the logs with you in the first weeks after launch to refine answers.
Once setup is complete and tested, the assistant can start answering enquiries immediately. It will handle first questions at once, collect lead details, and pass them to a person during working hours. The exact go-live date is scheduled after testing and your approval.
Building conversation flows depends on the number and complexity of your services and rules. We work with you to define the flows, then build and test them. The timeline is agreed upon after we understand your requirements, ensuring thoroughness without rushing.
We need your specifications for the device, including its purpose, the software it should run, and how it will integrate with your systems. We also need your service list, rules, and any existing scripts. This information helps us scope and build the device accurately.
Yes, the assistant is configured to hand over to a person based on your rules. You define when handover should occur, and the assistant will pass the lead to a person during working hours. This ensures complex queries are handled by your team.
In the first weeks after launch, we review conversation logs with you and improve the answers. This ensures the assistant learns from real interactions and continues to meet your business needs. You can also take over conversations at any point.
Yes, we provide guidance on how to use the device and read the conversation logs. We also explain how to take over conversations when needed. Training is part of the setup process to ensure your team is comfortable with the system.
We need your service list, common questions, prices, and the rules the assistant must follow. We also need to know where lead details should be stored and how you want to read conversation logs. This information ensures the assistant is tailored to your business.
We configure the assistant to answer enquiries at once, even outside office hours, and collect lead details. It then passes the lead to a person during working hours. This setup ensures no enquiry goes cold, regardless of when it arrives.
Your project includes the custom AI or IoT device built to your specification, the software that runs it, and integration with your existing systems. We also handle the setup of any AI assistant features, testing, and connecting to channels like your website or WhatsApp. Everything is tailored to your service list and rules.
Yes, the assistant can be connected to your website, WhatsApp, or other channels you use. This is part of the setup, so it can respond to enquiries wherever they come from. We discuss which channels you need during the planning stage and integrate accordingly.
Absolutely. We build the assistant on your own service list, prices, script, and rules. You define which questions it must never answer and when it must hand over to a person. We set these rules with you before launch, so you have full control over its responses.
Yes, every conversation is logged. You can read what was said at any time. This is included in the setup, and we review the logs with you in the first weeks to improve the answers. It gives you transparency and helps refine the assistant's performance.
Yes, a person can take over at any point during a conversation. The assistant is designed to hand over to a human when needed, such as during working hours or when a query falls outside its rules. This ensures complex or sensitive issues are handled personally.
The plan covers building the software that runs your device, integrating it with your existing systems, and connecting the AI assistant to your chosen channels. We handle the technical setup, including APIs and data flow, so everything works together seamlessly.
We collect your service list, common questions, and the rules the assistant must follow. Then we build the conversation flows and test them with sample conversations. You review and approve the rules before launch, and we can adjust them based on log reviews.
The assistant is programmed to hand over to a person when it encounters a question outside its defined rules. You specify which questions it must never answer and when to escalate. This ensures that uncertain queries are handled by your team, not guessed at.
We provide both: the custom AI or IoT device built to your specification, and the software that runs on it. This includes integration with your systems and any AI assistant features. You get a complete solution, not just software or hardware separately.
We provide guidance on how to use the custom AI device and read the conversation logs. While formal training sessions aren't specified, we review the logs with you in the first weeks and show you how to interpret them. This helps your staff get comfortable with the system.
Integration with your existing systems is part of the plan. We assess your current software during the requirements phase and build the necessary connections. Whether it's a CRM, database, or other tool, we ensure the device and assistant work with what you already use.
We test the assistant with sample conversations to ensure it follows your rules and answers correctly. This testing is part of the setup. You can review the test results and suggest adjustments before we launch, so you're confident in its performance.
Our focus for this service is on custom AI devices and hardware work, including AI assistants. AI SEO services are not included in this plan. However, AWEBCs offers a range of IT and web consultancy services; you can inquire separately about AI SEO services in India if needed.
Yes, the assistant is built on your specific service list and rules, so it can be tailored to your industry. Whether you're a clinic, school, or service provider, we configure the flows and answers to match your common enquiries and terminology.
After setup, we review the conversation logs with you in the first weeks and improve the answers based on what we find. This support helps refine the assistant's performance. Ongoing support beyond that can be discussed based on your needs.
Yes, we build the conversation flows based on your service list, common questions, and rules. This is a core part of the setup. We design the flows to handle typical enquiries and escalate when necessary, ensuring a natural interaction for your customers.
The assistant is built on your service list and common questions, so it can handle as many as you need within that scope. There's no fixed limit; we tailor the flows to cover your typical enquiries. For anything outside, it hands over to a person.
You can add more channels later, though it may require additional work. The initial plan includes the channels you specify at the start. If you need to expand, we can integrate new channels as a separate phase, ensuring flexibility as your business grows.
We provide access to conversation logs and lead details as part of the setup. The exact method depends on your systems; we can store leads in your CRM or a specified location. You'll be able to review logs and leads easily, either through your existing tools or a simple interface we set up.
The assistant is built on your script and rules, so it can handle multiple languages if you specify that requirement. We'll discuss your language needs during planning and configure the flows accordingly. This ensures it communicates effectively with your audience.
This service is designed for businesses that get enquiries outside office hours, sales teams that spend time on repeated questions, and clinics, schools, and service providers with many similar enquiries. If you struggle with missed or delayed responses, this service can help.
We set the rules and answers with you before launch, so the assistant only responds within defined boundaries. Every conversation is logged, and you can review what was said. If it encounters something outside its rules, it hands over to a person, reducing the risk of incorrect information.
The custom AI or IoT device is included as part of the project. We build it to your specification, along with the software and integration. There's no separate hardware cost unless your requirements change significantly; everything is quoted as a complete solution.
For any support need after your AI device or custom hardware is set up, contact AWEBCs directly. We are an IT and web consultancy based in Uttarakhand, India. You can reach us through the contact details provided during your project. Our team will assist you with questions, troubleshooting, and any adjustments needed to keep your system running smoothly.
We aim to respond promptly to all support requests. The exact response time depends on the nature of your query and our current workload. When you contact AWEBCs, we will acknowledge your request and provide an estimated time for resolution. For urgent issues, please indicate the severity so we can prioritise accordingly.
Yes, AWEBCs provides support for custom hardware issues. When you contact us, please specify that your query relates to custom hardware so we can route it to the appropriate team member. We will work with you to diagnose and resolve any hardware-related problems, ensuring your device functions as intended.
If your AI assistant stops answering enquiries, contact AWEBCs support immediately. We will investigate the issue, which could be related to connectivity, configuration, or the underlying software. Our team will guide you through troubleshooting steps and make any necessary fixes to restore service as quickly as possible.
To change the rules your AI assistant follows, please contact AWEBCs. We will discuss the modifications you need and update the assistant's configuration accordingly. Changes may require testing to ensure the assistant continues to operate correctly and follows your updated business rules without disruption.
AWEBCs provides support for integrating your AI assistant with new channels. Contact us with the details of the channel you want to add, and we will assess the requirements and guide you through the integration process. We will ensure the assistant works seamlessly across all your chosen channels.
If you encounter issues with conversation logs or lead data, please report them to AWEBCs support. We will investigate the problem, which may involve checking data storage, retrieval processes, or access permissions. Our team will work to resolve the issue and ensure you can reliably access and review your logs and leads.
For urgent technical issues outside normal business hours, please contact AWEBCs using the emergency contact information provided during your project setup. We understand that critical issues can arise at any time, and we will make every effort to address them promptly, though response times may vary outside standard hours.
To request a new feature or modification, contact AWEBCs with a detailed description of what you need. We will evaluate the request, discuss feasibility and any impact on the existing system, and provide a plan for implementation. We will keep you informed throughout the process and ensure the changes meet your requirements.
When you submit a support ticket to AWEBCs, we aim to reply as quickly as possible. The actual response time depends on the complexity of the issue and our current support queue. We prioritise tickets based on urgency and impact, and we will keep you updated on the status of your request.
AWEBCs provides documentation and guidance tailored to your custom AI device or hardware project. While we do not maintain a public knowledge base, we share relevant materials during setup and support. For specific questions, please contact us directly, and we will provide the information or assistance you need.
After your project is delivered, your main point of contact for support is the AWEBCs team. We will provide you with the appropriate contact details. You can reach out to us for any support needs, and we will coordinate internally to ensure your request is handled by the right person.
If you suspect a security issue with your AI device or data, contact AWEBCs immediately. We take security seriously and will investigate the matter promptly. Please provide as much detail as possible about the suspected issue so we can assess and address it effectively, helping to protect your system and information.
To request training for your staff, contact AWEBCs and specify your training needs. We can arrange a session to walk your team through using the AI assistant, reviewing conversation logs, and handling lead handovers. Training helps ensure your staff can effectively utilise the system and maximise its benefits.
The turnaround time for fixing a bug depends on its severity and complexity. AWEBCs will assess the bug upon report and provide an estimated resolution time. We prioritise critical bugs that affect core functionality. We will keep you informed of progress and work diligently to resolve the issue.
Yes, AWEBCs provides support for custom hardware integration with third-party software. Contact us with the details of the software and the integration you need. We will evaluate the requirements and work with you to ensure your custom hardware communicates correctly with the third-party system.
If your AI assistant is not handing over leads to humans correctly, contact AWEBCs support. We will review the handover rules and configuration, and test the process to identify any issues. Our team will make necessary adjustments to ensure leads are passed to your staff during working hours as intended.
In the first weeks after launch, AWEBCs provides support for reviewing conversation logs with you. We will help you interpret the logs, identify areas for improvement, and refine the assistant's answers. This collaborative review ensures the assistant aligns with your business needs and continues to improve over time.
If you are not satisfied with the initial response to your support issue, please ask to escalate the matter to a senior team member at AWEBCs. We value your feedback and will review your concern to ensure it is addressed appropriately. Our goal is to resolve your issue to your satisfaction.
Ongoing support after the initial setup is provided by AWEBCs. The scope of support is discussed during the project planning. We offer assistance with troubleshooting, updates, and adjustments as needed. Please contact us to clarify what ongoing support is included for your specific project.
AWEBCs provides support during standard business hours. For urgent issues outside these hours, please use the emergency contact provided. We strive to respond to all inquiries promptly during support hours. Specific support hours will be communicated to you during the project setup.
For billing or account-related questions, please contact AWEBCs directly. We will connect you with the appropriate person to address your inquiry. Please have your project details ready so we can assist you efficiently and resolve any billing or account concerns.
We welcome your feedback on the support you received. Please contact AWEBCs with your comments. Your feedback helps us improve our services and ensure we meet your expectations. We appreciate you taking the time to share your experience with us.
The best way to reach AWEBCs for support is through the contact details provided during your project. You can typically reach us by email or phone. For non-urgent matters, email is often efficient. For urgent issues, please call. We will guide you on the preferred method for your specific needs.
Yes, AWEBCs provides support for custom hardware regardless of your location. We can assist remotely and, if necessary, discuss on-site options. Please contact us with your new details and any specific concerns about the hardware's operation in your new location. We will work to ensure continued support.
We build security into the device from the start, following your specification. Every conversation is logged, and you decide where lead details are stored. We set the rules and answers with you before launch, so the assistant only shares what you approve. Access to logs and data is controlled, and we discuss your security requirements during planning.
Backups are planned with you based on where your data is stored. We review your requirements and set up appropriate backup measures as part of the project. The aim is to ensure conversation logs and lead details are not lost, and that you can recover them if needed. Specific backup schedules are agreed during the build.
Yes. You decide who on your team can access the logs. We set up access according to your rules, so only authorised staff can read what was said. This helps protect sensitive customer information and keeps your data safe. Access controls are part of the security planning we do with you.
We discuss physical security and data protection during the project. Depending on the device, we can include measures to protect stored data. You define where lead details are stored, which may be on secure servers rather than the device itself. This reduces risk if the hardware is lost or stolen.
Security is built to your specification. We agree on access rules and authentication methods during planning. The device is configured to follow your security requirements, and we test these before launch. You can also review logs to monitor access. We work with you to ensure only authorised users can interact with the device.
Every conversation is logged, and storage is set up according to your rules. You decide where logs are kept and who can access them. If you need to delete logs, we can include that in the data management plan. We discuss retention and deletion policies during the project to meet your needs.
We follow secure integration practices for WhatsApp and other channels. The connection is configured to protect data in transit, and access is controlled. We discuss any specific security requirements you have and implement them. The assistant is built on your rules, and logs are kept so you can monitor activity.
Lead details are stored where you specify, with access limited to authorised staff. The assistant collects only the information your sales team needs, as defined in your rules. We review the data flow with you and set up controls to prevent exposure. Logs are available for you to audit what was collected.
Yes. You define which questions the assistant must never answer and when it must hand over to a person. We build these rules into the conversation flows and test them before launch. This prevents the assistant from sharing information you consider sensitive or inappropriate, keeping your business safe.
We design each device to your specification, including privacy requirements. You decide where data is stored and who can access it. The assistant follows your rules, and every conversation is logged for transparency. We discuss privacy during planning and implement measures that fit your business and legal obligations.
Security updates are part of ongoing support. We agree on a process for applying patches and keeping the device secure. You will be informed of any critical updates, and we can schedule them to minimise disruption. The exact approach is defined in your support plan.
You decide where lead details and conversation logs are stored. We can configure the system to store data on secure servers, on the device, or a combination, based on your security preferences. This is agreed during the planning phase, and we implement the storage method that best meets your needs.
We discuss data ownership and exit procedures during the project. You own your data, and we can provide it to you in a usable format if you stop using the service. Any deletion of data is carried out according to your instructions. The specifics are agreed in the contract.
A record is kept of each exchange, letting you review what was discussed. In the opening weeks after launch, we go through the logs together and refine the responses. You can access the logs at any time to monitor the assistant's responses. This transparency helps you ensure the assistant follows your rules and protects your brand.
Yes. You define what details the assistant should collect. We build the conversation flows to ask only the questions your sales team needs and to avoid sensitive information. The rules are set with you before launch, and we test them to ensure compliance. This helps you manage data privacy.
Training is included after setup. We show your staff how to use the device, including how to access logs and handle data securely. The training covers your specific rules and procedures. This ensures your team understands their role in maintaining security and data safety.
We use secure integration methods when connecting to your CRM or other software. The connection is configured to protect data in transit and to authenticate access. We discuss your security requirements and implement appropriate measures. This helps prevent unauthorised access and data leaks.
We mitigate risks by setting clear rules and testing the assistant before launch. Each exchange is recorded, and you can step in whenever you choose. The assistant is built on your service list, prices, and script, so it stays within approved boundaries. We also review logs with you to catch any issues early.
Contact our support team immediately. We will investigate and take appropriate action, such as isolating the device or reviewing logs. Our support hours are defined, and for urgent issues outside normal hours, we provide a contact method. We work with you to resolve the issue and prevent recurrence.
The assistant is built on your own service list, prices, and rules, and does not share data with third parties unless you explicitly allow it. We discuss any integrations and their data sharing practices during planning. You control where data is stored and who can access it, ensuring confidentiality.
Yes. Every conversation is logged, and you can access the logs. We can provide export options so you can keep a copy for your records. The method of access is agreed during setup, and we ensure it meets your data safety requirements. This gives you full visibility and control.
The backup frequency depends on your business needs and is agreed during planning. We consider how often you need to recover data and set up backups accordingly. The aim is to balance data safety with cost. We document the backup schedule and review it with you.
We tailor security and data handling to your industry's requirements. For healthcare or education, we discuss specific regulations and implement measures such as restricted access and secure storage. The assistant follows your rules, and logs are kept for audit. We work with you to meet compliance needs.
We can include two-factor authentication if required. During planning, we discuss your security preferences and implement appropriate access controls. This adds an extra layer of protection for your data. The exact methods are agreed based on your systems and requirements.
We follow secure development practices and configure the device to minimise risk. We discuss security requirements and can include measures such as restricted software installation and regular updates. The device is tested before launch. Ongoing support includes monitoring and patching as agreed in your plan.
The assistant draws on your own list of services, pricing, script and rules, so growth is a matter of extending those inputs rather than starting again. As your enquiry volume rises, the flows and channels can be expanded with us. We plan the build around your current needs and review the logs with you in the first weeks to improve the answers.
Yes. We gather your services, frequently asked questions and the rules the assistant needs to follow, then create the flows and trial them using sample conversations. When new questions appear, we review the logs with you and improve the answers. That review is part of how the assistant keeps pace with what buyers actually ask.
There is no fixed question count in what we describe; the assistant answers from the service list, prices, script and rules we set with you before launch. Questions outside those rules are handled by handover to a person. We review conversation logs in the first weeks and refine the answers where gaps appear.
The assistant is built once on your service list, prices, script and rules, and then connected to your website, WhatsApp or other channels. Adding channels extends that same base rather than replacing it. We test each new connection with sample conversations before it goes live, so quality holds as you expand.
You can begin with the channels and rules that matter most and extend from there. We collect your service list, common questions and rules, build the flows, test with sample conversations, and connect the channels you choose. Reviewing logs with you in the first weeks shows where expansion will help most.
You decide which questions the assistant must never answer and when it must hand over to a person. We set the rules and answers with you before launch, so the assistant works within boundaries you define rather than improvising. Every conversation is logged, so you can read what was said and adjust the rules.
The assistant handles initial questions immediately, gathers the information your sales team requires, and hands the lead to a person during business hours. That means spikes in enquiries do not sit unanswered overnight or while your team is busy. In the opening weeks after launch, we go through the logs together and refine the responses.
We set the rules and answers with you before launch, built on your own service list, prices and script. When your rules change, you tell us and we update the flows and test them with sample conversations. Reviewing logs together in the first weeks keeps the assistant aligned with how you actually sell.
After launch In the opening weeks after launch, we go through the logs together and refine the responses. From there, the assistant can be extended across your website, WhatsApp or other channels, and its rules and script can be refined as your service list and prices change. Each step is tested with sample conversations before going live.
The assistant draws on your own list of services, pricing, script and rules, so changes to those inputs are how it stays accurate. You tell us about new services or price updates, and we revise the flows and test them with sample conversations. Logs let you confirm the new answers behave as expected.
Custom AI and IoT devices are built to your specification, with software and integration, so the starting point is your requirements. If you later need different functions, the specification and integration work are revisited with us. We do not publish fixed limits or promises beyond what your agreed specification covers.
In the opening weeks after launch, we go through the logs together and refine the responses. Because every conversation is logged, you can read what was said and spot where the script or rules need work. That same review habit, applied as your business changes, is how the assistant keeps getting better over time.
We connect the assistant to your website, WhatsApp or other channels, and you tell us which channels it should answer on. The practical scope comes from your requirements rather than a published cap. Each connection is built and tested with sample conversations, and adding more later follows the same process.
The assistant handles initial questions immediately, gathers the information your sales team requires, and hands the lead to a person during business hours. Busy periods therefore do not leave enquiries unanswered. Reminders and first replies are automated, so staff spend their time on the leads that are ready to buy.
The build starts with your service list, common questions and rules. From there, the flows can be extended and refined as you see which enquiries convert. In the opening weeks after launch, we go through the logs together and refine the responses, which shows where deeper coverage of your sales process will pay off.
We start from your requirements and the channels the assistant should answer on, then collect your service list, common questions and rules. We build the flows, test with sample conversations, connect the channels, and review logs in the first weeks. That sequence keeps the base reusable as you grow.
A record is kept of each exchange so you can see what was discussed, and a human can step in whenever needed. The logs are also what we use to review and improve the answers in the first weeks. Growing log volume gives you more evidence for refining rules and script, not a reason to rebuild.
Messages come in overnight, at weekends and during busy periods, and plenty grow cold before a reply is sent. The assistant answers the first questions at once and passes the lead to a person during working hours. As volume rises, the same setup keeps first replies moving without adding staff.
Custom devices are built to your specification, with software and integration. If new software enters the picture later, that integration work is scoped with us against the changed requirement. We do not promise specific timelines or outcomes beyond the specification we agree with you for the build.
Bring the request to us at AWEBCs and we will look at it against the original specification and the software and integration involved. Because the device is built to your specification, changes are handled as new scoping work. We will not quote a number here; the scope and inputs decide it.
What the assistant says is governed by your service list, prices, script and rules, which we set with you before launch. If you expand into new regions, those inputs change and the flows are revised and tested with sample conversations. Conversation logs show where new wording is needed.
The assistant draws on your own list of services, pricing, script and rules. As your catalogue grows, those inputs are updated with us, and the revised flows are tested with sample conversations before going live. Reviewing logs in the first weeks and afterwards confirms the answers still match what you sell.
In the opening weeks after launch, we go through the logs together and refine the responses. After that, the sensible path is to extend the channels the assistant answers on and refine the rules and script as your service list and prices change. Each change is tested with sample conversations before launch.
Off-the-shelf assistants follow someone else's rules and service list. AWEBCs builds custom AI and IoT devices to your specification, with software and integration, using your own service list, prices, script and rules. That means the assistant answers the way your business actually works, not the way a generic product assumes.
AWEBCs is an IT and web consultancy in Uttarakhand, India, that builds custom AI and IoT devices to your specification, with software and integration. You get the flows, testing with sample conversations, connection to your website or WhatsApp, and a review of logs in the first weeks. A single freelancer rarely covers all of that.
Staff cost grows with every shift, while an AI assistant answers the first questions at once and collects the details your sales team needs. Your people then spend time on leads that are ready to buy instead of repeated follow-ups. AWEBCs builds this on your own service list and rules, so the replies stay on brand.
Website plugins usually handle one channel and follow fixed scripts. AWEBCs connects the assistant to your website, WhatsApp or other channels, builds the flows from your service list and rules, and logs every conversation. A person can take over at any point, which basic plugins rarely support well.
Large platforms sell a product you must adapt to. AWEBCs builds custom AI and IoT devices to your specification, with software and integration, and sets the rules and answers with you before launch. For a business in India that wants a device and assistant shaped around its own process, that fit matters more than scale.
A general agency may treat the device as one more app. AWEBCs focuses on AI devices and custom hardware work, building to your specification with software and integration, then testing flows with sample conversations. It also reviews logs with you in the first weeks, so the assistant keeps improving after launch.
Ready-made tools capture a form, not a conversation. AWEBCs builds an assistant on your own service list, prices, script and rules, so it asks the questions your sales team needs and passes the lead to a person during working hours. Each exchange is recorded, and a person is able to intervene at any moment
Building in-house means hiring for hardware, software and integration at once. AWEBCs already does custom AI and IoT devices built to your specification, with software and integration, and follows a clear path: collect your service list and rules, build flows, test with sample conversations, connect channels, then review logs with you.
These businesses get many similar enquiries, often outside office hours. AWEBCs builds an assistant on your own service list and rules that answers the first questions at once and collects the details your team needs. Each exchange is recorded, and a person is able to intervene at any moment
Separate apps leave gaps where enquiries go cold. AWEBCs builds custom AI and IoT devices to your specification, with software and integration, so the assistant answers on your website, WhatsApp or other channels and hands leads to a person during working hours. One build, one set of rules, one log.
A software-only vendor leaves the hardware side to someone else. AWEBCs handles AI devices and custom hardware work together, building to your specification with software and integration. If your project needs a physical device plus an assistant, you deal with one consultancy rather than coordinating two suppliers.
Templates cannot follow your business rules closely. AWEBCs sets the rules and answers with you before launch, builds the flows, tests them with sample conversations, and reviews the logs with you in the first weeks. You decide what the assistant can and cannot say, and a person can take over at any point.
Waiting is the costliest option. Messages come in overnight, at weekends and during busy periods, and plenty grow cold before a reply is sent. AWEBCs answers the first questions at once, collects the details your sales team needs, and passes the lead to a person during working hours, with every conversation logged.
A cheaper bot usually answers one channel with fixed replies. AWEBCs builds on your own service list, prices, script and rules, connects the assistant to your website, WhatsApp or other channels, and reviews logs with you in the first weeks. The assistant reflects your business rather than a generic script.
An answering service reads from a script and charges for every minute. An assistant from AWEBCs replies at once, asks the questions your sales team needs and hands the lead to a person during working hours, built on your own service list and rules. Every conversation is logged for review.
That worry is why we set the rules and answers with you before launch. AWEBCs builds the flows, tests them with sample conversations, and logs every conversation so you can read what was said. A person can take over at any point, and we review the logs with you in the first weeks.
An overseas vendor may not understand how Indian businesses handle enquiries. AWEBCs is based in Uttarakhand, India, and builds custom AI and IoT devices to your specification, with software and integration. We collect your service list and common questions, and set the rules with you before launch.
A hardware shop sells the box and stops there. AWEBCs builds custom AI and IoT devices to your specification, with software and integration, then connects the assistant to your website, WhatsApp or other channels. We also review the logs with you in the first weeks and improve the answers.
Free tools give you no control over rules or logs. With AWEBCs you decide what the assistant can and cannot say, Each exchange is recorded, and a person is able to intervene at any moment We test the flows with sample conversations before launch and review logs with you afterwards.
A web developer builds pages, not devices. AWEBCs builds custom AI and IoT devices to your specification, with software and integration, and connects the assistant to your website, WhatsApp or other channels. We collect your service list, common questions and rules, then build and test the flows.
Per-conversation pricing grows as your enquiries grow. AWEBCs builds the assistant on your own service list, prices, script and rules, with software and integration, so the device and flows are yours. In the opening weeks after launch, we go through the logs together and refine the responses as you go.
Messages come in overnight, at weekends and during busy periods, and plenty grow cold before a reply is sent. AWEBCs builds an assistant that answers the first questions at once and collects the details your sales team needs, then passes the lead to a person during working hours.
A generic app company builds apps. AWEBCs builds custom AI and IoT devices to your specification, with software and integration, and focuses on how enquiries are answered, logged and handed to people. We set the rules with you before launch and review the logs in the first weeks.
A DIY builder leaves you to write the rules, test the flows and watch the logs alone. AWEBCs collects your service list and common questions, sets the rules with you, builds and tests the flows with sample conversations, connects your channels, and reviews the logs with you in the first weeks.
An auto-reply sends one message. An assistant from AWEBCs answers the first questions at once, asks what your sales team needs, and hands the lead to a person during working hours. It is built on your own service list and rules, Each exchange is recorded, and a person is able to intervene at any moment
The gap is rarely daytime work; it is nights, weekends and busy spells. AWEBCs builds an assistant that covers those hours, answers the first questions at once, collects the details your sales team needs and passes the lead to a person during working hours, so fewer enquiries go cold.
Messages come in overnight, at weekends and during busy periods, and plenty grow cold before a reply is sent. Our AI answers the first questions at once, collects the details your sales team needs, and passes the lead to a person during working hours. This means fewer lost opportunities.
The assistant draws on your own list of services, pricing, script and rules. We set the rules and answers with you before launch, test with sample conversations, and keep a log of every conversation. You can read what was said and take over at any point.
First replies and reminders run automatically, freeing staff to focus on leads that are ready to purchase. The AI handles common questions and collects details, freeing your team to focus on closing sales rather than answering the same things repeatedly.
We gather your services, frequently asked questions and the rules the assistant needs to follow. You don't need everything perfect upfront; we work with you to gather this information. It's essential for building accurate flows and ensuring the assistant answers correctly.
We ask where the lead details will be stored and how you will read the conversation logs. This is part of the setup, ensuring you have access to the data you need. We integrate with your existing systems or provide a suitable solution.
We need your service list, common questions and the rules the assistant must follow. We also need to know which channels to use, which questions to never answer, when to hand over to a person, where to store lead details, and how you'll read logs.
The assistant is built on your service list and common questions, so it can handle as many as you provide. There's no fixed limit; it's designed to answer the questions your customers ask. We can expand it as your business grows.
After launch we review the conversation logs with you in the first weeks and improve the answers as we go. Maintenance covers keeping the flows aligned with your service list, prices and rules, and adjusting how the assistant hands leads to your team. We agree the exact scope with you before the build starts.
Support is arranged directly with AWEBCs, and we confirm the terms with you before the project begins so nothing expires without warning. When your period comes up for renewal, we review what changed in your business, update the flows and answers, and agree the next term with you in writing.
AWEBCs remains your point of contact for the device and the software built around it. When your service list, prices or rules change, we update the assistant and any related integration so the replies stay accurate. Hardware changes are discussed with you first, since each device is built to your specification.
Yes. The assistant can be connected to your website, WhatsApp or other channels, and support can be extended to cover whichever channels you add. We plan the change with you, test the new channel with sample conversations, and then fold it into your ongoing maintenance arrangement.
There is no standard pause policy published, so this is agreed with you when the maintenance terms are set. Tell us in advance if your enquiry pattern is seasonal, and we will discuss how the assistant and its logs are handled while you are not actively using the service.
Renewal covers ongoing upkeep rather than repeating the original build. The flows, integrations and hardware already delivered remain yours under the agreed terms. What renewal typically funds is continued review of logs, answer improvements and updates when your services, prices or business rules change.
Report it through the support contact AWEBCs gives you at handover, and include what you saw and when. Messages received outside working hours are picked up when the team is next available. For anything urgent, mark it clearly so it is handled first when support resumes.
Only if we update it. The assistant draws on your own list of services, pricing, script and rules, so send changes to AWEBCs and we revise the flows and answers. This is a routine part of maintenance, and it prevents the assistant from quoting figures that are no longer current.
Before your term ends, we review how the device and its software have performed, note any changes your business needs, and propose the next period. You decide whether to continue, and the terms are confirmed with you in writing. Nothing renews silently without your agreement.
That depends on what was built for you, so it is agreed case by case. Some clients need ongoing flow and integration upkeep only, while others want the device itself covered too. Tell us which parts you want maintained and we will set the arrangement accordingly.
We review the conversation logs with you, starting in the first weeks and continuing through maintenance. Every conversation is logged, so we can read what was said and spot answers that need correcting. When your services or rules change, we update the flows so replies stay aligned.
Report it to AWEBCs support with the time it happened and any conversation reference you have. Because every conversation is logged, we can trace what the assistant did and correct the handover rule. Until it is fixed, your team can still take over conversations manually.
Log review is part of how the assistant is kept accurate, and how it is covered depends on the maintenance terms agreed with you. We confirm this before the project starts so there are no surprises. The purpose is to read what was said and improve answers that are not working.
Response times are agreed with you as part of your support arrangement, so you know what to expect. When you report an issue, include enough detail for us to trace it in the logs. Requests that affect live customer conversations are prioritised so leads are not lost.
Yes. Customer questions change over time, and the assistant can be updated to handle new ones. During maintenance we review the logs, identify gaps, and add or refine flows. This keeps the assistant useful as your business and your customers' enquiries evolve.
Tell AWEBCs and we will confirm the end date and what happens to your data under the agreed terms. The assistant is built on your own service list and rules, so we discuss with you what remains accessible and how conversation logs are handled before anything is switched off.
Warranty and repair terms are agreed with you as part of the project, since each device is built to specification. If something fails, contact AWEBCs support with the details and we will assess it. Repairs and replacements are then handled according to the terms you accepted.
Send the request to AWEBCs describing what should change and why. We review it against the current build, confirm what it involves, and agree it with you before any work begins. Changes that affect live conversations are tested with sample conversations before going live.
The assistant keeps working as volume rises, and maintenance is where we watch for problems. Reviewing logs shows where answers drift or handovers fail, and we correct those. If your enquiry pattern changes significantly, tell us so the flows can be adjusted to match.
Ownership and access are set out in the terms agreed with you, and every conversation is logged so you can read what was said. If you need a copy or want to know where lead details are stored, ask AWEBCs and we will confirm the arrangement for your project.
Yes, this can be arranged as part of your support. When the assistant or device changes, staff need to know how handovers, logs and lead details work in practice. Tell us which team members are affected and we will walk them through the changes.
That is a change to the integration, so raise it with AWEBCs and we will scope it with you. Because the device was built to your specification, extensions are planned rather than assumed. We confirm what is involved before any work starts.
There is no fixed interval published; it depends on how often your services, prices and policies change. A practical approach is to review whenever something in your business changes, and to use the log review in the first weeks to catch early problems. We agree the rhythm with you.
AWEBCs is an IT and web consultancy based in Uttarakhand, India, and support is provided by our team. You deal directly with the people who built your assistant or device, which makes it easier to explain changes and get the right fix applied.
Give us your project details, a clear description of what has changed or gone wrong, and any conversation reference if the issue involves the assistant. For renewals, tell us what has changed in your service list, prices or rules so we can update the build accordingly.
Yes. We gather your services, frequently asked questions and the rules the assistant needs to follow, then create the flows and trial them using sample conversations before connecting the assistant to your website, WhatsApp or other channels. Every conversation is logged, so you can read what was said and keep a record of the migration.
We need your service list, common questions and the rules the assistant must follow, plus which channels it should answer on and where lead details will be stored. We also ask which questions it must never answer and when it must hand over to a person, so the new setup matches how your team already works.
We set the rules and answers with you before launch, build the flows, and test them with sample conversations. A record is kept of each exchange so you can see what was discussed, and a human can step in whenever needed. In the first weeks we review the logs with you and improve the answers.
We start from your service list, prices, script and rules, then map which questions the assistant answers and when it hands a lead to a person during working hours. We connect it to your website, WhatsApp or other channels, and the lead details are stored where your team can reach them.
No. The assistant draws on your own list of services, pricing, script and rules, so it follows the way you already work. It answers the first questions at once, collects the details your sales team needs, and passes the lead to a person during working hours, and staff can take over at any point.
We test the flows with sample conversations before the assistant goes live, so live enquiries are not handled by an untested setup. Once launched, it answers the first questions at once and collects the details your sales team needs, and in the first weeks we review the logs with you.
Yes. We connect the assistant to your website, WhatsApp or other channels as part of the build, so enquiries from the places your customers already use are answered at once. We agree with you which channels it should answer on before we start the build.
The assistant answers the first questions at once, whenever the enquiry arrives, and collects the details your sales team needs. It then passes the lead to a person during working hours, so night and weekend enquiries no longer go cold before anyone replies, and every conversation is logged for review.
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