Website support chatbot
Answers product, pricing and policy questions 24/7 and hands complex cases to your team.
Generative AI · RAG · Agents
AI chatbots that answer from your own data
Customer-support bots, internal knowledge assistants and WhatsApp agents that answer from your documents and systems — with sources, guardrails and a measured accuracy rate before they ever talk to a customer.
A demo chatbot takes a day. A reliable one takes engineering.
Connecting a language model to a chat window is easy. Making it answer correctly from your policies, prices and product data — and say “I don’t know” instead of inventing an answer — is the real work.
We build retrieval-augmented generation (RAG) systems: your content is cleaned, chunked and indexed, the assistant retrieves the relevant passages for every question, and it answers with citations. Before launch, we test it against a set of real questions from your team and report the accuracy, so you decide on facts, not on a demo.
Where the bot needs to act — check an order, book an appointment, raise a ticket — we connect it to your systems through controlled tools with logging and human hand-off.
Why teams choose Amigo Smart Tech
Senior engineers in Hyderabad, working with clients in India and abroad.
- One accountable teamDesign, apps, backend and hosting under one roof — no vendor finger-pointing.
- Fixed written proposalScope, timeline and cost agreed in writing after a free scoping call.
- You own everythingSource code, designs, cloud and store accounts stay in your name.
- Support after launchMonitoring, fixes and improvements on a simple monthly plan.
What we build
Choose the model provider that fits your cost, privacy and language needs.
WhatsApp business bot
Lead capture, order status, appointment booking and FAQs on the WhatsApp Business API.
Internal knowledge assistant
Staff ask questions across SOPs, contracts, manuals and wikis — with links to the source.
Document processing
Extract data from invoices, forms and contracts into your systems with human review.
AI agents with tools
Assistants that look up records, create tickets or update CRMs through approved actions.
Evaluation & monitoring
Test sets, accuracy dashboards, cost tracking and feedback loops after launch.
How we work
From first call to launch
Use-case & data review
We identify the questions worth automating and check whether your content can answer them.
Prototype on your data
A working assistant on a sample of your documents within two to three weeks.
Evaluate & harden
Accuracy testing, guardrails, access control and hand-off rules before any customer sees it.
Launch & improve
Deploy to your channels, then review conversations and improve answers every month.
Stack
Technologies we use
- OpenAI
- Claude
- Gemini
- Llama
- LangChain
- LlamaIndex
- pgvector
- Pinecone
- Python
- FastAPI
- Node.js
- WhatsApp Business API
- AWS
- Azure
Questions
AI chatbot development — FAQs
Will the chatbot make up answers?
We design against it: answers are generated only from retrieved passages, include sources, and the bot is instructed and tested to decline when the content does not cover a question. We measure this on a test set before launch.
Is our data safe?
Yes. We use enterprise API terms where providers do not train on your data, can host open-source models in your own cloud, and apply access control so users only retrieve what they are allowed to see.
Can the bot work on WhatsApp?
Yes. We integrate with the official WhatsApp Business API through providers such as Meta Cloud API, Twilio or Gupshup, including templates, opt-in and human hand-off.
Does it support Indian languages?
Modern models handle Hindi, Telugu, Tamil and other Indian languages reasonably well. We test accuracy in each language you need before committing to it.
How much does it cost to run?
Running cost depends on volume and the model chosen. We estimate the monthly model and hosting cost during discovery and design to keep it predictable.
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