Engineering services · AI chatbots
AI Chatbot Development Company in India
Chatbots that resolve queries, not just collect them.
Varynt builds custom AI chatbots for customer support, sales and internal teams — trained on your own data, integrated with WhatsApp, your website and your existing tools. When a query needs a human, the bot hands it off cleanly instead of trapping the customer in a loop.
Related services: AI Agent Development Company and LLM Application Development Services.
What this service is
Who it's for, and what it fixes.
A good chatbot answers the questions your customers or staff actually ask, from your own information, and knows when to stop and pass the conversation to a person. A bad one guesses, invents policies, and traps people in loops. The difference is not the model; it is the content it answers from, the rules around it, and how it is tested.
We build chatbots for clients on the website, inside an app, on WhatsApp through the WhatsApp Business Platform, or inside internal tools. Each bot answers from sources you control, shows where an answer came from when that helps, hands over cleanly with the conversation so far, and is tested against a set of real questions before it meets a customer.
Customer support teams
The same questions about orders, plans, policies and how-tos, all day, across channels.
Sales teams
Visitors with product questions outside office hours, and leads that need qualifying before a call.
Internal teams
Staff searching policies, procedures and product notes spread across documents and drives.
Businesses on WhatsApp
Customers who prefer to message, and a team answering the same messages by hand.
Problems it solves
- The support queue is full of questions the documentation already answers
- Customers wait until morning for a simple answer
- An existing bot gives wrong answers or loops instead of handing over
- Staff ask colleagues for information that exists but is hard to find
- Leads go cold because nobody replied while they were interested
What's included
The deliverables.
What a typical engagement produces. Discovery decides which of these your first release needs.
Question analysis
Your real support tickets, chats or emails analysed to find what people ask most and which answers are missing from your content.
Knowledge preparation
Your help articles, policies and product data organised into sources the bot answers from, with owners so they stay current.
The chatbot
Answers grounded in those sources, in your tone, with the bot saying it does not know rather than guessing.
Channels
A website widget, an in-app chat, a WhatsApp number through the WhatsApp Business Platform, or an internal tool, sharing one brain.
Handover to people
Clean transfer to your team or helpdesk with the conversation and what the customer needs, during and outside office hours.
Review dashboard
Conversations, unanswered questions, handover reasons and ratings, so your team can see what to improve each week.
How an engagement runs
From first call to running software.
Five phases, each ending in something you can see and approve. The detail, and what we need from you at each step, is on how we work with you.
- 01
Discovery 1–2 weeks
We read a sample of your real conversations, group the questions, decide what the bot should and should not answer, and choose the channels and the handover route.
- 02
Design 1 week
Conversation flows for the main topics, the handover rules, the tone, and a test set of real questions with the right answers.
- 03
Build 2–6 weeks
Sources prepared, the bot built and scored against the test set every cycle. Your team tries it and flags answers they would not give.
- 04
Launch 1–2 weeks
Released to a share of visitors or one channel first, with every conversation reviewable, then widened as the answers prove good.
- 05
Support Ongoing
Weekly review of unanswered questions, content updates, and re-testing when models or your products change.
Technology approach
Plain, proven, and yours to keep.
Mostly the stack behind the Varynt products, chosen per project. Read how we build.
- Python
- LangChain
- Java
- PostgreSQL
- pgvector
- WhatsApp Business Platform
- LLM APIs
- Retrieval
- Your content split into passages and searched with vector and keyword search, so each answer is built from the right few passages.
- Models
- Hosted language models chosen on measured answer quality and cost, behind our own service so they can be changed later.
- Channels
- A lightweight web widget, the WhatsApp Business Platform for WhatsApp, and connectors for your helpdesk or internal chat.
- Back end
- Python or Java services with PostgreSQL and pgvector for content, conversations and the review data.
What you receive
Ownership, documentation, handover.
- The full source code in a repository you own, with its history, from the first week
- A written handover: architecture overview, how to run, build and release it, and the decisions taken and why
- Credentials, keys and accounts created in your name, never ours
- The automated test suites and the build pipeline, so anyone can keep shipping it
- The test set of real questions and the scoring, to re-test after any change
- A content guide: how to add or fix what the bot answers from
Typical timelines
Ranges, not promises.
- Website FAQ bot
- 4–6 weeks
- Answers from your help content on one channel, with email or form handover.
- Support bot with handover
- 6–10 weeks
- Several channels, live handover to your team or helpdesk, and the review dashboard.
- Internal knowledge bot
- 4–8 weeks
- Answers for staff from internal documents, respecting who may see what.
Every project is quoted for its own scope after discovery; prices are not published.
Security and quality
The practices we use on our own products.
Varynt runs four products for paying customers. Client work gets the same habits. See trust and security.
- The bot answers only from approved sources and says so when it does not know
- Personal data in conversations handled for the purpose it was given, and kept only as long as agreed
- Internal bots respect document permissions: people only get answers from what they may read
- Access is checked on the server for every request; hiding a button is never the control
- Code review on every change, and automated tests that run before anything is released
- Test suites run in more than one order, so a test that only passes by luck is caught
- Before a release changes a database, it is backed up and the backup is restored and checked
- Secrets live outside the code, and dependencies are kept current
Will the chatbot make things up?
It is built not to. Answers come from your approved content, the bot is instructed to say when it does not know, and it is tested against real questions before launch. No model is perfect, so high-risk topics such as refunds or medical questions go to a person.
Can the bot work on WhatsApp?
Yes, through the WhatsApp Business Platform with your own business number. Meta's approval and messaging rules apply, and we handle the setup with you.
What happens when the bot cannot help?
It hands the conversation to a person with the history and what the customer needs, through your helpdesk, a live chat or an email, depending on the time and your setup.
How do we keep the answers up to date?
The bot answers from your content, so updating an article updates the answer. The review dashboard shows questions it could not answer, which tells you what to write next.
Can it answer in Hindi and other languages?
Modern language models handle many languages well, including Hindi. We test the languages your customers use on the same real questions before launch.
Can an internal bot respect who is allowed to see what?
Yes. The bot searches only the documents the person asking may read, using the same permissions as your document system.
Related
Services and products that fit alongside.
Other services: Custom software · Mobile apps · Web applications · Workflow automation · SaaS products · Cloud and DevOps · MVPs for startups
Get in touch
Send us the questions your team answers every day.
A short call and a sample of real conversations. You get a view of what a bot could answer well, and what should stay with people.