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Anil MauryaSoftware · AI · Automation

AI Development

AI Chatbot Development

Answer customer questions instantly, using your own information.

Typical timeline
3-6 weeks depending on how much source content needs preparing
Category
AI Development
Engagement
Fixed-scope phases
You receive
Code, data & documentation

Overview

A useful business chatbot is not a generic assistant bolted onto your website. It answers from your documents, your pricing and your policies, says plainly when it does not know, and passes the conversation to a human at the right moment. That last part is what separates a helpful assistant from an embarrassing one.

The problem

The same twenty questions, every single day

A large share of incoming messages are routine: opening hours, whether you serve a particular area, what a service includes, how to get a copy of a document. Answering them manually is slow for the customer and a poor use of your team's time, and after hours nobody answers at all.

You will recognise this if

  • Your team answers near-identical questions many times a week
  • Enquiries that arrive at night get a reply the next morning, by which time some have gone elsewhere
  • Different staff members give slightly different answers to the same question
  • Genuine sales enquiries sit behind a queue of routine questions

Enquire about ai chatbot development

Tell us briefly what you need. We reply within one working day.

We reply within one working day. No spam, and we never share your details.

What you get out of it

The difference this makes

Instant answers, around the clock

Visitors get a useful reply immediately, including at night and on holidays, which is often when people research purchases.

Consistent, approved information

Answers come from content you control, so the chatbot cannot improvise a policy or quote a price you never set.

Your team handles only what matters

Routine questions are absorbed by the assistant; real enquiries arrive with context already gathered.

A record of what customers ask

Conversation logs show what people repeatedly want to know — usually the clearest signal of what your website is failing to explain.

What we build

  • Answers grounded strictly in your documents, pages and FAQs
  • Explicit "I don't know" behaviour instead of inventing answers
  • Handover to WhatsApp, a call request or a human agent with full context
  • Lead capture inside the conversation, saved to your CRM or database
  • Multilingual replies, including Hindi and English code-mixing
  • Admin area to review conversations, correct answers and update source content
  • Guardrails preventing discussion of topics outside your business
  • Usage and cost monitoring per month

How it gets used

A diagnostic centre fielding test enquiries

Visitors ask about preparation, timings, home collection availability and report delivery; the assistant answers from the published test catalogue and books a slot or requests a callback.

A coaching institute during admissions

Prospective students ask about batches, fees structure, syllabus and eligibility at all hours; qualified enquiries are routed to the counsellor with the conversation attached.

A B2B supplier with a technical catalogue

Buyers ask whether a product meets a specification; the assistant answers from datasheets and escalates anything it cannot support with a citation.

Technology we typically use

You do not need to care about this list — but your next developer will.

  • Claude API
  • Retrieval-augmented generation
  • Vector database (pgvector)
  • Python with FastAPI
  • Next.js
  • PostgreSQL

Timeline: Typically 3-6 weeks depending on how much source content needs preparing

Questions

AI Chatbot Development — common questions

Something else on your mind? Ask us directly — it is usually faster than reading.

Will it make up answers?
That risk cannot be reduced to zero, which is why the design matters. The assistant is constrained to answer only from retrieved passages of your own content, is instructed to decline when it finds nothing relevant, and can show the source behind an answer. We also test it against a list of awkward questions before launch and review logs afterwards.
What does it cost to run each month?
Cost is driven by conversation volume and the model used. A few thousand conversations a month typically costs a few hundred to a few thousand rupees in model usage. We set spend limits, cache common answers and report actual usage so the figure stays predictable.
Can it speak Hindi?
Yes, including the mixed Hindi-English people actually type. Quality is strongest when your source documents are available in the same languages you want to support.
How is it kept up to date?
Source content is re-indexed on a schedule or on demand, so updating a page or document updates the assistant's answers. The admin area lets you correct a specific answer directly when needed.

Thinking about ai chatbot development?

Tell us about your situation. We will tell you whether this is the right service, what it would involve, and roughly what it would cost.