Build · India & worldwide
AI consulting and chatbot development that removes real work
Support chatbots trained on your own documents, invoice and document extraction, lead qualification and internal copilots — built on OpenAI, Claude or Gemini with costs and limits explained up front.
In short
AI chatbot development in India costs roughly ₹30,000–₹75,000 for a basic FAQ bot, ₹1,00,000–₹4,00,000 for a business chatbot with CRM and WhatsApp integration, and ₹6,00,000–₹15,00,000 for a full RAG system trained on private documents. Running costs are usage-based and I forecast and cap them before launch.
The work starts with a use-case session that decides what to automate first — and what to leave alone. Most businesses get more value from document extraction and lead qualification than from a chat window, and I will say so if that is your situation.
AI consulting & chatbots at a glance
- Typical cost
- ₹30,000–₹75,000 FAQ bot · ₹1,00,000–₹4,00,000 integrated bot · ₹6,00,000+ full RAG
- Typical timeline
- 2–3 weeks for a scoped chatbot · 6–12 weeks for a RAG or agent system
- Models
- OpenAI, Anthropic Claude, Google Gemini — chosen on cost, latency and data terms
- Deployment
- Website widget, WhatsApp Business, internal tools, or your existing helpdesk
- Guardrails
- Grounded answers with citations, refusal when no source exists, human handoff, full logging
- Running cost
- Usage-based, forecast from your real volume and capped before launch
Sound familiar?
What you get
- Use-case workshop: what to automate first, and what not to
- Retrieval chatbot trained on your documents, site and catalogue
- Document, invoice and form data extraction pipelines
- Lead qualification and routing into your CRM
- Internal copilots for support, sales or operations teams
- Guardrails, logging, human handoff and monthly cost ceiling
- Team training so staff trust and use the tool
What AI is genuinely good at in a small business
The gap between AI demos and AI that survives contact with a real business is large. These are the applications that consistently pay for themselves in Indian SMEs — everything else I will talk you out of.
| Use case | What it replaces | Typical payback |
|---|---|---|
| Support chatbot on your documents | Staff answering the same questions by phone and WhatsApp | Fast — most businesses see deflection within weeks |
| Document & invoice extraction | Manual data entry from PDFs into a spreadsheet or ERP | Fast, and accuracy usually improves too |
| Lead qualification & routing | Sales staff chasing enquiries that were never going to buy | Fast, and measurable in cost per qualified lead |
| Internal copilot over your own knowledge base | New staff interrupting senior staff to find answers | Medium — value grows as documentation improves |
| Content drafting with human review | Blank-page time in marketing | Medium — needs an editor to stay useful |
| Fully autonomous decision-making | Nothing, safely, at this scale | Not recommended yet |
How a RAG chatbot actually works — in plain language
RAG stands for retrieval-augmented generation. Instead of hoping a model happens to know your refund policy, your documents are broken into passages, indexed, and the relevant ones are retrieved and handed to the model at the moment a question is asked.
The practical consequence is that answers are grounded in your material and can cite the source paragraph. When there is no relevant source, a well-built system says it does not know and offers a human — which is the single most important behaviour to get right, because one confident invention destroys trust in the whole tool.
- Your documents, site, catalogue and past tickets are indexed into a vector database
- Each question retrieves the most relevant passages before the model answers
- Answers carry citations back to the source document and page
- Out-of-scope questions trigger a refusal and a handoff to a person, not a guess
- Every conversation is logged so you can audit what it told customers
- Permissions are respected — staff-only documents never surface in a public bot
Data, privacy and what leaves your building
This is the question every serious client asks, and it deserves a straight answer. Which model provider you use, whether your data is retained, and whether anything trains on it are configurable decisions we make before building, not discoveries you make afterwards.
Sensitive workloads can run inside your own infrastructure with open-weight models, at a higher build cost and a lower running cost. For most businesses the right answer is a commercial API under enterprise terms with retention disabled — but you should know that was a choice, and why.
Indicative pricing
What AI consulting & chatbots costs
Indicative Indian market ranges for 2026. AI projects vary widely with document volume and integration depth, so scope drives the number more than in any other service.
| Scope | Indicative range | What sits inside it |
|---|---|---|
| FAQ / scripted chatbot | ₹30,000 – ₹75,000 | Website widget, fixed knowledge, basic handoff to WhatsApp or email |
| Business chatbot with integrations | ₹1,00,000 – ₹4,00,000 | CRM integration, WhatsApp and website deployment, lead routing, analytics, custom flows |
| RAG system on private documents | ₹6,00,000 – ₹15,00,000 | Vector database, permissions, citations, evaluation harness, admin console |
| Document / invoice extraction | ₹75,000 – ₹3,00,000 | Extraction pipeline, validation rules, human review queue, export to your system |
| AI use-case audit (standalone) | ₹25,000 – ₹60,000 | Written report ranking your candidate use cases by payback, cost and risk |
| Model usage (running cost) | Usage-based | Forecast from your real volume, capped, and reported monthly |
I do not take commissions from model providers. Where a cheaper or smaller model does the job as well, that is what I will recommend — the monthly bill is your cost, not my margin.
Tech stack
The exact platforms I build AI consulting & chatbots on.
Mainstream, well-supported products with real warranties and real communities — so your system stays maintainable long after the invoice is settled.
OpenAI
Claude
Gemini
LangChain
Hugging Face
Python
FastAPI
PostgreSQL
Pinecone
Redis
Docker
WhatsApp Business
Why clients pick me for this
Four promises, written into every AI consulting & chatbots contract.
Fixed price, no scope-creep billing
The quote you approve is the amount you pay. Anything extra is quoted and approved by you before a rupee is spent.
Milestone payments, not upfront risk
You pay against delivered stages. If a milestone is not signed off, the next one does not start.
Satisfaction sign-off before handover
Delivery closes only when you have tested it and confirmed it does what the scope said. Fixes inside that scope are free.
Support after the invoice is paid
A defined warranty period, then optional AMC. You call the person who built it — never a ticket queue.
How it runs
From your first message to signed-off delivery.
STEP 01
Use-case session
We rank candidate automations by payback, risk and effort, and pick the one that pays for the project.
STEP 02
Scoped quote with a cost ceiling
Build cost plus a forecast monthly running cost, with a hard cap configured before launch.
STEP 03
Build, evaluate, tune
Answers are tested against a real question set from your business — accuracy is measured, not assumed.
STEP 04
Launch, train, monitor
Staff training, logging dashboards and a monthly review of what it answered well and badly.
FAQ
AI consulting & chatbots — questions clients ask
How much does an AI chatbot cost in India?
A basic FAQ chatbot costs ₹30,000–₹75,000. A business chatbot with CRM integration, WhatsApp and website deployment, lead routing and analytics runs ₹1,00,000–₹4,00,000. A full RAG chatbot trained on private documents with permissions and citations is ₹6,00,000–₹15,00,000. Model usage is billed separately and forecast in advance.
Will the chatbot make things up?
Answers are grounded in your own documents with citations, and the system is configured to refuse and escalate to a human when there is no supporting source. That behaviour is tested against a real question set before launch — I will show you the accuracy numbers rather than asking you to trust it.
Where does our data go, and does it train the model?
Into your accounts, with your chosen provider, under terms we agree before building. Commercial APIs can be configured with retention disabled and no training on your data. Genuinely sensitive workloads can run on open-weight models inside your own infrastructure instead.
What does it cost to run each month?
Usage-based, and it depends on conversation volume and document size. I forecast the monthly bill from your real numbers and set a hard cap before launch, so an unexpected spike cannot produce an unexpected invoice.
Can the chatbot work on WhatsApp?
Yes — WhatsApp Business API is the most-requested channel in India and often outperforms a website widget, because customers are already there. It can qualify leads, answer questions and hand off to your team in the same thread.
Which model do you use — OpenAI, Claude or Gemini?
Whichever fits the job on cost, latency, context length and data terms. Many systems use more than one, with a cheaper model for routine questions and a stronger one for hard ones. I have no reseller relationship with any provider.
How long does an AI project take?
A scoped chatbot takes 2–3 weeks. A RAG system over a real document estate takes 6–12 weeks, with most of that time spent on data preparation and evaluation rather than on the model itself.
Can AI read our invoices and purchase orders?
Yes. Document extraction pipelines pull structured fields from PDFs and scans, apply validation rules, route anything uncertain to a human review queue, and export into your accounting or ERP system. This is often a better first project than a chatbot.
What if AI is not the right answer for our problem?
Then I will tell you in the use-case session and recommend the boring alternative, which is frequently a form, a database or a properly configured CRM. An AI audit that ends with 'do not build this yet' has still saved you money.
Ready to get your AI consulting & chatbots done properly?
Send the requirement today and a written, itemised quote is in your inbox within 24 hours. If it is not the right fit, I will tell you that instead of selling you something.
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