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AI Chatbots & Agents · Noida + Worldwide

AI Chatbot and AI Agent Development Company in India

A chatbot that answers from your own help docs, catalogue and policies instead of making things up. An agent that can check an order, book a slot or update a CRM record, and nothing you didn't allow. We've shipped 18 production AI integrations, and every one has a running-cost cap.

A chatbot and an agent are not the same thing

A chatbot answers. It reads your FAQ, product catalogue, help centre or policy documents and replies to customers in plain language, at 2am, in Hindi or English. That's the most common thing people ask us for, and usually the right place to start.

An agent acts. It can look up an order in your database, create a support ticket, reschedule an appointment or update a lead in your CRM, using tools we define and lock down. Agents are more useful and more risky, so we build them with narrow permissions, logs of every action, and a human hand-off for anything that involves money. Most clients start with a chatbot and add actions once they've seen people actually use it.

What we build

Website support chatbot

Answers product, pricing and policy questions from your own content, with sources, and hands over to a person when it isn't sure. The most common first project.

WhatsApp AI assistant

The same assistant on the WhatsApp Business API, where most Indian customers already are. Order status, catalogue questions and appointment booking. See what the WhatsApp Business API is.

Internal knowledge assistant

Your team asks questions about SOPs, contracts, HR policy or past projects and gets answers with links to the source document, instead of pinging the one person who knows.

AI agents with tool access

Agents that read and write to your systems: CRM updates, order lookups, ticket creation, lead qualification. Every tool is scoped, every action is logged.

Lead qualification bot

Talks to website visitors, asks the questions your sales team would ask, and sends qualified leads to your CRM or WhatsApp with a summary attached.

Document extraction

Pulls fields out of invoices, contracts and forms into your database. Less glamorous than a chatbot, and often a bigger time saver.

How we keep it from embarrassing you

The failures people worry about are real. These are the controls that go into every build.

  • Answers come from your content only, with the source shown, so it can't invent a refund policy you don't have
  • A confidence threshold and a clean hand-off to a human when the question is outside what it knows
  • An evaluation set of real customer questions, run before every change, so a prompt tweak can't quietly break answers
  • Hard monthly spend limits and per-request cost tracking, so the model bill can't surprise you
  • Agents get the narrowest permissions that work, and anything touching payments needs a human to approve
  • Your data stays within the provider settings you choose, and nothing is used for model training

What an AI chatbot costs to build and run

A website chatbot grounded in your FAQ, catalogue or knowledge base costs ₹40,000 to ₹90,000 to build, depending on how messy the source content is. Running it costs ₹2,000 to ₹15,000 a month, mostly model usage, depending on traffic and which model we pick. Document extraction runs ₹60,000 to ₹2 lakh to build and is cheap to run. Agents that write into your systems cost more, because the testing and permission work is where the effort goes.

If you're comparing that to a support hire at ₹25,000 a month, a chatbot that handles the repeat questions usually pays for itself fast. If your volume is low, it might not, and we'll tell you that on the first call. There's more detail in AI agents in production web apps: what we're actually shipping.

How a chatbot project runs

A first chatbot is usually live in two to four weeks.

1
Use-case call

We look at the questions you actually get, from support tickets, WhatsApp chats or sales calls, and decide what the bot should and shouldn't handle.

2
Content and evaluation set

We gather the source content and build a test set of 50 to 100 real questions with correct answers, before writing any prompts.

3
Build and test

Retrieval, prompts, hand-off rules and the chat widget or WhatsApp flow, tested against the evaluation set until the answers hold up.

4
Launch and tune

Live with spend limits and logging. We review real conversations for the first month and fix what it gets wrong.

Frequently asked questions

How much does it cost to build an AI chatbot in India?

₹40,000 to ₹90,000 for a website chatbot grounded in your own content, plus ₹2,000 to ₹15,000 a month to run depending on traffic and model. Agents that take actions in your systems cost more to build because of the permission and testing work.

Which AI model do you use?

It depends on the job. Claude and OpenAI models for most customer-facing work, smaller and cheaper models like Claude Haiku or GPT mini tiers for high-volume simple questions, and open models when data can't leave your servers. We pick on accuracy and running cost, and we can switch later without a rebuild.

Will the chatbot make things up?

Not if it's built properly. Ours answer only from your content, show where the answer came from, and hand over to a person when they aren't confident. We test against a set of real questions before launch and after every change.

Can it work on WhatsApp?

Yes. We connect it to the WhatsApp Business API through Meta or a provider like Gupshup or Interakt. The same brain can serve your website and WhatsApp, so you maintain one set of content.

What's the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent takes actions: it checks an order, books a slot, creates a ticket or updates a CRM record through tools we define. Agents are more useful and need tighter controls, so we usually start with a chatbot and add actions once it has proven itself.

Can you add a chatbot to our existing website or app?

Yes, and that's most of our work. It's usually a small widget plus a backend service, so your site doesn't need a rebuild. It works on WordPress, Shopify, Next.js, Laravel and most other stacks.

Related

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