AI Chatbots & Virtual Assistants
A chatbot that resolves the request, or hands off cleanly — not one that makes the customer repeat themselves three times first.
Most business chatbots fail at the one job they exist to do: resolve something. They are built on rigid decision trees that collapse the moment a customer phrases a question slightly differently, or they are a thin LLM wrapper with no connection to real account data, so every answer is a generic non-answer. Either way, the customer ends up more frustrated than if there had been no bot at all, typing "talk to a human" in increasing capital letters.
A chatbot is only as useful as what it is connected to and how honestly it handles the edge of its own knowledge. We build conversational interfaces wired into your actual systems — order status, account data, your knowledge base — so answers are specific, not generic, and we build in an explicit, fast handoff to a human the moment a request falls outside what the bot can responsibly handle. A clean handoff is a feature, not a failure.
What's Included
Conversation design and scope document
A mapped-out picture of what the bot should resolve on its own, what it should gather and hand to a human, and where the boundary sits — agreed with your team before build.
Deployed bot connected to real data
The conversational interface wired to your account systems, knowledge base, or order data — not a static FAQ bot answering from a script.
Human handoff and escalation flow
A defined, low-friction path to a human agent when the bot cannot resolve a request, with full conversation context passed along so the customer does not repeat themselves.
Resolution rate and conversation quality dashboard
Ongoing visibility into what percentage of conversations the bot resolves without escalation, and where conversations are breaking down, so the bot improves with real usage instead of staying static after launch.
Our Approach
Scope what the bot should actually resolve.
We do not start with "build a chatbot" — we start with which specific requests it should be able to close out end-to-end, based on your support volume and what is realistically automatable today.
Connect it to real systems, not a script.
The bot is wired to your actual account, order, or knowledge data through APIs, so responses are specific to the customer asking, not a generic canned answer dressed up in conversational language.
Build the handoff to be as good as the bot.
Every deployment includes a clear escalation trigger and a handoff that carries conversation context to the human agent, so the bot failing gracefully is part of the design, not an afterthought.
Frequently Asked Questions
Those are typically decision-tree bots limited to pre-scripted paths, or a generic LLM with no access to your actual data — so they cannot look up an order, check an account balance, or answer anything specific to the person asking. We build bots connected to your real systems, so the answer is accurate to that customer, not a templated response.
It says so and hands off — it does not guess or loop the customer through the same three menu options again. We define the escalation trigger during design (low confidence, an explicit request for a human, a topic outside scope) and build the handoff to pass full conversation context to the human agent, so nothing is repeated.
A chatbot connected to one or two core systems — say, order status and a knowledge base — typically runs ₹6-12 lakh and takes 5-8 weeks. A virtual assistant handling multiple account actions across several systems, with more complex escalation logic, runs ₹15-25 lakh over 10-14 weeks. We give you a firm number after scoping which systems it needs to touch.
Yes — we build the conversation logic and system integrations once and deploy the same bot across multiple channels (web widget, WhatsApp, in-app), since the channel is just the delivery surface. We will flag upfront if a specific channel has constraints — like WhatsApp's messaging templates — that shape what the conversation can look like there.
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