Chatbot development
Bots that answer the questions people actually ask, and hand over to a person the moment they cannot.
Kolkata and West Bengal
You own the source code
Support after launch
Most chatbot disappointment comes from the same place: a bot deployed to deflect contact rather than to resolve it. It answers three questions well, fails the fourth, and offers no way out — so the customer leaves annoyed and still calls anyway.
A useful bot does the opposite. It handles the genuinely repetitive queries — order status, opening hours, booking changes, document requirements — grounds its answers in your own content so it does not invent things, and escalates cleanly with the conversation history attached the moment it is out of its depth.
Problems this solves
The same questions, all day
Where is my order, what are your timings, what documents do I need — high volume, low value, and they crowd out the enquiries worth a person’s attention.
Enquiries arriving after hours
Messages that land at 11pm sit unanswered until morning, by which time the customer has often asked someone else.
Bots that make things up
A language model with no grounding will answer confidently and wrongly, which is worse than not answering at all.
No route to a human
A bot with no escalation path traps the customer in a loop and turns a small problem into a complaint.
What the work covers
Intent and content audit
We read your actual enquiry history first, so the bot is built for the questions you really get rather than the ones we assume.
WhatsApp Business bots
Automation on the channel most Indian customers already use, through the official WhatsApp Business API.
Website and in-app chat
A widget that matches your interface, works on mobile and is operable by keyboard and screen reader.
Grounded answers
Retrieval over your own documents and pages, so responses cite what you actually published instead of improvising.
System integration
Live lookups into order, booking or CRM systems so the bot can answer “where is my order” with the real answer.
Human handover
Escalation to your team with the full conversation attached, plus clear rules for when the bot must not attempt an answer.
What happens to a customer message
The path a single message takes. The grounding step is what separates a bot that is useful from one that invents answers, and the handover step is what stops a failure becoming a complaint.
Message
Arrives from WhatsApp, the website or the app.
Intent
What is actually being asked, and in which language.
Grounding
Retrieval over your own content and records.
Systems
Live lookup into orders, bookings or CRM.
Answer
Responds only within what it can support.
Handover
Escalates to a person with full history.
What you end up with
Repetitive enquiries handled without a person
Answers grounded in your own content, not invented
Coverage outside working hours
Live order and booking lookups, not canned replies
Clean escalation with conversation history attached
A log of what people actually ask, which is useful on its own
Technologies we commonly use for this
The stack is chosen per project — from your requirements, your existing systems and who will maintain it afterwards. This list is what we reach for most often, not a fixed answer.
Ways to work together
Model A
Fixed scope, fixed price
The scope is written down in detail before work starts, and the price is fixed against it. Changes are quoted separately as they come up.
Best for: Well-understood projects — a website, a defined module, a rebuild.
Model B
Monthly retained team
An agreed number of developer days each month, directed by your priorities. Scope can move without renegotiating a contract.
Best for: Products that will keep evolving after the first release.
Model C
Phased delivery
The system is split into phases that each ship something usable. Every phase is quoted before it begins.
Best for: Large ERP, SaaS and platform builds where the full scope is big.
Model D
Support and maintenance
Ongoing care for a system that already exists — ours or someone else’s — covering fixes, updates and small enhancements.
Best for: Live systems that need a reliable pair of hands.
Sectors we apply this in
Frequently asked questions
No, and we would not build it to. It removes the repetitive volume — order status, timings, document lists — so your team spends its time on the enquiries that genuinely need a person. Escalation is part of the design, not a fallback.
By grounding it in your own content and records rather than letting a model answer from general knowledge, and by scoping what it is permitted to answer at all. Outside that scope it says so and hands over rather than guessing.
Yes, through the official WhatsApp Business API. For most Indian businesses that is the channel worth automating first, because it is where customers already message you.
Yes. Multilingual handling is normal, though it needs testing against real messages — including the mixed-script typing people actually use — rather than being assumed to work.
Access to your recent enquiry history and whatever documentation you already have. Those two things determine what the bot can usefully answer, so we read them before proposing scope.
Related services
AI/ML Development
Machine learning applied where it measurably beats a simpler solution — and honest advice when it does not.
API Development
The interfaces that let your systems talk to each other, and let partners build on top of what you have.
CRM Development
A sales system your team will actually keep up to date, because it matches the way they work.
Custom Software Development
Software shaped around the way your business already works, instead of a packaged product you have to reorganise around.
Talk through your project with a developer
You will speak to someone who writes the software, not a salesperson working from a script. Bring your requirements, or just the problem.