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.

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
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 buildA 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.
Enquiries come in at night and on weekends. By the time someone qualifies them and updates the CRM, the customer has moved on.
Pricing, policies, order status and how-to questions are answered by hand, from documents that already contain the answers.
Checking a record, updating the CRM, creating a task and sending an update means switching between systems for every single request.
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.
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Different businesses.
An agent with a clearly defined job.
Answer customer and staff questions from your own documents and knowledge base, and hand off to a person when the answer is not there.
Ask a question covered by the approved knowledge, or one that needs a person.
Ask the right questions, qualify each enquiry and update the CRM, so your sales team starts with the leads worth calling.
Read and update your CRM, database or sheets, create tasks and send updates, so routine requests are handled without someone switching tools.
Several agents with separate roles working on one process, for example one gathering details, one checking records and one preparing the reply.
Handle inbound and outbound calls, read and update records during the call and hand over to a person when needed.
Conversational chatbots that understand intent, answer from company knowledge, recommend products and capture qualified leads.
Read invoices, forms and emails, pick out the details that matter and pass them to the next step for checking.
Add an AI step to an existing automation where plain rules are not enough, such as sorting requests or drafting replies.
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.
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.It works out what is being asked, then finds the answer in your documents or checks the record in your CRM, database or sheet.
Local example only. No message or record is changed.Each agent has limited permissions: it can update a record, create a task or qualify a lead, and nothing beyond the tools it was given.
Local example only. No message or record is changed.Payments, deletions and sensitive messages wait for a human to approve, and conversations the agent cannot handle are handed to your team.
Local example only. No message or record is changed.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.
Starting from₹59,999
One agent built for one clear job, connected to your documents or systems and tested before launch.
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.
Your scope shapes the final quote.
Each CRM, database, sheet or API the agent reads or updates adds connection and testing work.
A few policy documents are simpler than a large library of manuals, product catalogues and past tickets.
Web chat, WhatsApp, email and phone each need their own setup and testing.
A multi-agent system with separate roles needs more design and testing than a single agent.
Approval flows for payments, refunds or sensitive messages add design and testing.
How many conversations or tasks run each day affects AI usage costs, which are billed separately.
In a 20-minute call we find the job worth giving an agent and agree exactly what it should and should not do.
We gather the documents it needs, decide which systems it can read or update, and set the limits on each tool.
We build it with n8n, the OpenAI Agents SDK or custom tool calling, depending on the job and your systems.
We test unclear questions, missing information and requests outside its job, and check that risky actions wait for approval.
The agent goes live with a clear handoff to your team. If something breaks after launch, we fix it; improvements are quoted separately.
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.
Agents built inside n8n workflows, ideal when the agent sits within a larger automation and needs to connect many business tools.
For agents that reason across several steps and tools in custom code, with full control over how each step behaves.
Connects agents to your own systems, such as a CRM, database or internal API, through tools we define and limit.
An agent that can act needs firm limits. These are part of every build, not optional extras.
Anything with real consequences, such as payments, deletions or sensitive customer messages, waits for a person to approve it.
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.
When the agent is unsure or the request is outside its job, the conversation goes to a person with the details already collected.
Agents run in your accounts or as agreed in writing, and you control the credentials for your own systems.
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.
If something breaks after launch, we fix it. New skills, extra channels and ongoing improvements are quoted separately.
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.
The quote defines tools, channels, knowledge and approval steps. GST, AI usage, phone and WhatsApp charges, platform plans and hosting are separate.
Find a quick answer, or talk through your project with us.
12 questions, answered.Ask us directlyAn 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.