AI chatbot development services
AI chatbot development for your website, WhatsApp and Telegram
A useful AI chatbot answers from your own content, knows when to hand over to a person, and works where your customers already are: your website, WhatsApp or Telegram.
I build custom LLM chatbots on top of a proper retrieval pipeline. DocuChat is a multi-tenant chatbot platform with an 18 KB embeddable widget, WhatsApp and Telegram channels and a live human-handoff inbox. Thagi Alert's assistant verifies scam messages in 8 Indian languages.
Problems I solve
Generic answers
Off-the-shelf bots give vague replies. Your chatbot should answer from your documents, pages and policies, and cite them.
Customers on different channels
Some customers use your site, others WhatsApp or Telegram. One knowledge base can serve all of them.
Conversations the bot shouldn't own
Complaints, sales and edge cases need a human. Handoff to a live inbox keeps the customer in the same conversation.
Unknown cost and quality
Token costs and answer quality should be visible. I track cost per conversation and run quality evaluations.
What I build
- Knowledge base
- Ingestion from PDFs, documents and website crawls, kept up to date as your content changes.
- Embeddable web widget
- A lightweight script tag for any website, styled to your brand.
- WhatsApp and Telegram
- Bots on the Meta WhatsApp Cloud API and Telegram Bot API, sharing the same knowledge base.
- Human handoff
- A live inbox where your team takes over conversations, with the full history visible.
- Multi-language
- Answers in your customers' languages, including Hindi and other Indian languages.
- Analytics and evaluation
- Cost per conversation, unanswered questions and hallucination checks, so the bot gets better over time.
Related work
Multi-tenant enterprise RAG chatbot
DocuChat
A multi-tenant RAG chatbot platform with WhatsApp, Telegram, live human handoff and an 18 KB embeddable widget.
Read the case study →
Anti-scam & citizen cyber emergency portal
Thagi Alert
India's independent anti-scam portal: AI screenshot checks, a fund-freeze assistant and bots, in 8 Indian languages.
Read the case study →
Contract-review RAG platform
BriefPilot
Contract review that cites the exact clause, reconciles amendments and grades every contract against your playbook.
Read the case study →
How we'll work
Step 1
Collect the content
Documents, FAQs and pages the bot should know, plus the questions customers actually ask.
Step 2
Build retrieval and answers
A RAG pipeline with citations, tested on real questions before launch.
Step 3
Connect the channels
Web widget first, then WhatsApp, Telegram or your helpdesk.
Step 4
Launch and improve
Handoff, analytics and monthly review of unanswered questions.
Technology
- OpenAI
- Claude
- Gemini
- pgvector
- Laravel
- Vue
- Next.js
- FastAPI
- WhatsApp Cloud API
- Telegram Bot API
- HMAC webhooks
Frequently asked questions
Can the chatbot be trained on my website and PDFs?
Yes. The chatbot retrieves from your documents and crawled pages at answer time, so it stays current when you update content without retraining a model.
Can it work on WhatsApp?
Yes, through the Meta WhatsApp Cloud API, alongside your website widget and Telegram, all using the same knowledge base.
What happens when the bot can't answer?
It says so instead of guessing, and can hand the conversation to a person in a live inbox with the full history.
Does it support Hindi and other languages?
Yes. Modern models handle Hindi and other Indian languages well; Thagi Alert serves 8 Indian languages.
Who owns the chatbot and the data?
You do. It runs on your accounts and infrastructure, and you receive the code and documentation at handover.
Tell me what you're building
A short description of the problem and your data is enough. I'll reply with questions and a time for a call.
Start a project