A glowing AI core linked to a document, a CRM contact card and a calendar task, with an approval shield on one connection

AI Agent  
Development  

Airbil is an AI agent development company in Chennai. We build agents that answer from your own documents, qualify leads, update your CRM and handle routine requests across your systems, with limited permissions and human approval for anything risky. For businesses across India and overseas.

From ₹59,999
One agent for one agreed job · Excludes GST

Where an agent helps

Give repeated work a clearer next step.

Slow pages, dated layouts and missed enquiries can get in the way of good business. Start by recognising what needs to change.

See what we build
01Beyond scripted replies

The chatbot can only answer FAQs

A scripted bot handles the easy questions, then sends everything else to a form or a phone number. Customers repeat themselves and your team still does the work.

02Lead context

Leads arrive after hours and go cold

Enquiries come in at night and on weekends. By the time someone qualifies them and updates the CRM, the customer has moved on.

03Approved knowledge

Staff answer the same questions all day

Pricing, policies, order status and how-to questions are answered by hand, from documents that already contain the answers.

04Tools and hand-offs

Multi-step tasks hop between tools

Checking a record, updating the CRM, creating a task and sending an update means switching between systems for every single request.

Agents we build

AI agents for the jobs your team repeats.

We have built support agents on client documents, sales and lead qualification agents, internal operations agents, voice agents, AI chatbots and multi-agent systems. Each one starts from a single, clearly defined job.

Hover or choose a service 01 / 08

Different businesses.
An agent with a clearly defined job.

Support agents on your documents

Answer customer and staff questions from your own documents and knowledge base, and hand off to a person when the answer is not there.

Discuss your project
A source-backed answer. A clear boundary.

Ask a question covered by the approved knowledge, or one that needs a person.

Use the approved delivery policy as the source.
How an agent handles a task

Capable enough to act, limited enough to trust.

Custom AI agent development is about giving software a clear job, the right information and strict limits. Our agents look things up and take action across your tools, but only the actions they are allowed, and a person stays in control of anything that matters.

Choose a stage in the agent workflow
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A request comes in

A customer or a team member asks something on chat, WhatsApp, email, a form or a phone call, in their own words.

Local example only. No message or record is changed.
Built into every agent
  • Answers from your own documents
  • Lead qualification and CRM updates
  • Works on chat, WhatsApp and calls
  • Limited permissions per agent
  • Human approval for risky actions
  • Handoff to your team
Explore AI automation
The investment

AI agent development pricing, published upfront.

Start with one agent and one clear job. After a free audit you get a written quote that lists the tools it connects to, the safeguards and the running costs.

01Your next project

AI agent

Starting from₹59,999

One agent built for one clear job, connected to your documents or systems and tested before launch.

What’s included
  • One agent for one agreed job
  • Connected to your documents or business tools
  • Limited permissions for each tool
  • Human approval for risky actions
  • Handoff to your team when needed
  • Tested and handed over

Prices exclude GST. AI model usage, phone and WhatsApp/Meta charges, platform plans and hosting are separate. Multi-agent systems and extra channels are quoted on scope.

What changes the price

Your scope shapes the final quote.

01

Number of tools and systems

Each CRM, database, sheet or API the agent reads or updates adds connection and testing work.

02

Size of the knowledge base

A few policy documents are simpler than a large library of manuals, product catalogues and past tickets.

03

Channels

Web chat, WhatsApp, email and phone each need their own setup and testing.

04

One agent or several

A multi-agent system with separate roles needs more design and testing than a single agent.

05

Approval steps

Approval flows for payments, refunds or sensitive messages add design and testing.

06

Usage volume

How many conversations or tasks run each day affects AI usage costs, which are billed separately.

From idea to launch

How we build your AI agent.

Follow the build, step by step
  1. Phase 01

    Free audit and job definition

    In a 20-minute call we find the job worth giving an agent and agree exactly what it should and should not do.

    Define the job and its limits.
  2. Phase 02

    Knowledge, tools and permissions

    We gather the documents it needs, decide which systems it can read or update, and set the limits on each tool.

    Approved sources. Limited tools.
  3. Phase 03

    Build the agent

    We build it with n8n, the OpenAI Agents SDK or custom tool calling, depending on the job and your systems.

    A tool request and a checked response.
  4. Phase 04

    Test the edge cases

    We test unclear questions, missing information and requests outside its job, and check that risky actions wait for approval.

    Unclear requests reach your team.
  5. Phase 05

    Launch and support

    The agent goes live with a clear handoff to your team. If something breaks after launch, we fix it; improvements are quoted separately.

    Team handoff and outcomes stay visible.
How we build them

The right framework for the job.

We use the commercial APIs of OpenAI, Anthropic (Claude) and Google (Gemini), and choose how to build the agent based on where it needs to work.

n8n AI agents

Agents built inside n8n workflows, ideal when the agent sits within a larger automation and needs to connect many business tools.

OpenAI Agents SDK

For agents that reason across several steps and tools in custom code, with full control over how each step behaves.

MCP and custom tool calling

Connects agents to your own systems, such as a CRM, database or internal API, through tools we define and limit.

Safety by design

How we keep agents under control.

An agent that can act needs firm limits. These are part of every build, not optional extras.

Human approval for risky actions

Anything with real consequences, such as payments, deletions or sensitive customer messages, waits for a person to approve it.

Limited permissions

Each agent gets access only to the tools and data its job needs. A support agent cannot change billing, and a sales agent cannot delete records.

Clear handoff to your team

When the agent is unsure or the request is outside its job, the conversation goes to a person with the details already collected.

Your accounts and keys

Agents run in your accounts or as agreed in writing, and you control the credentials for your own systems.

A clear scope and a connected team

An AI agent development company in Chennai, working with your team.

Start with a free 20-minute automation audit. Agree the job, available data, tool permissions and handoff before choosing a framework. For fixed questions or a predictable sequence, a simple chatbot or rules-based workflow may be enough.

Chennai, India Local team. Connected delivery.

Support after the agent goes live

If something breaks after launch, we fix it. New skills, extra channels and ongoing improvements are quoted separately.

Your accounts and credentials

Agents run in your accounts or as agreed in writing. You control the credentials for your own systems, with access limited to the agreed job.

One clear scope. Visible running costs.

The quote defines tools, channels, knowledge and approval steps. GST, AI usage, phone and WhatsApp charges, platform plans and hosting are separate.

A little more clarity

Questions about AI agent development.

Find a quick answer, or talk through your project with us.

12 questions, answered.Ask us directly
01How much does AI agent development cost in Chennai?

An AI agent built for one clear job starts from ₹59,999, excluding GST. The final price depends on the tools it connects to, the size of its knowledge base, the channels it works on and whether several agents work together. AI usage, phone or WhatsApp charges and hosting are separate.

02What is the difference between a chatbot and an AI agent?

A chatbot mainly answers questions; an AI agent also takes actions. An agent can look up records, update your CRM, create tasks or qualify leads, within the permissions it is given. For a few fixed questions, a simple chatbot is often enough.

03What can an AI agent do for my business?

Common jobs are answering customer and staff questions from your documents, qualifying leads and updating the CRM, handling routine internal requests across your systems, and answering phone calls. We have built support, sales, internal operations, voice and multi-agent systems.

04Will an AI agent make mistakes?

Sometimes, which is why we design for it. Each agent has limited permissions, risky actions such as payments or deletions wait for human approval, and conversations it cannot handle are passed to your team.

05Which AI models and tools do you use?

We use the commercial APIs of OpenAI, Anthropic (Claude) and Google (Gemini), and build agents with n8n, the OpenAI Agents SDK or custom tool calling through MCP. We choose based on the job, your systems and your budget.

06Do you build multi-agent systems?

Yes. For processes with distinct stages, we build several agents with separate roles that work together, each limited to its own tools. For most businesses, a single well-defined agent is the right place to start.

07Can an AI agent answer from our own documents?

Yes. Support and knowledge agents answer from your documents, policies and product information, and hand off to a person when the answer is not there.

08Can the agent update our CRM or database?

Yes, within limits we agree. An agent can read and update records in your CRM, database or sheets, and actions with real consequences can be set to wait for human approval.

09Is our business data safe?

Agents run in your accounts or as agreed in writing, and you control the credentials for your own systems. We use paid commercial AI APIs whose business terms say API data is not used to train their models by default.

10How long does it take to build an AI agent?

It depends on the job, the tools it connects to and the testing involved, so the timeline comes with your written quote. A single agent with one clear job is the quickest place to start.

11What happens after the agent goes live?

If something breaks after launch, we fix it. New skills, extra channels and ongoing improvements are available on request or on a monthly plan, quoted separately.

12How do we get started?

Book a free 20-minute automation audit. We will find the job worth giving an agent, agree what it should and should not do, and give you a clear starting price.

Your next chapter

Which job would you give an AI agent?

Tell us where your team repeats the same work. In a free 20-minute automation audit we will find the job worth giving an agent, agree its limits and give you a clear starting price.

Designed, built and connected around you.