AI development company in Chennai for agents and chatbots
You get an AI assistant that answers customer questions using your own content, books appointments or creates tickets, and passes conversations to your team. For your Chennai business, we can build it for your website or WhatsApp. We start by learning about your business and audience, then agree the scope with you.
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What happens next
- 01Tell us what you need, in the form or on WhatsApp.
- 02Sohail replies within 1 working day (Mon–Sat, IST).
- 03We agree the scope together, then send your quote.
- Projects delivered
- 0+Projects delivered
- Years building for the web
- 0+Years building for the web
- Live and in use
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What you get
What’s included in AI agents & chatbots
Customer support agents
Answer questions on your website and WhatsApp using your own content.
Internal knowledge assistants
Let your team ask questions across policies, manuals and documents.
Action-taking agents
Book appointments, create tickets, look up orders and update records.
Human handover
Clear rules for when the agent passes a conversation to your team.
Guardrails & testing
Agents tested against real questions, with limits on what they can say and do.
Usage insights
See what people ask, what gets resolved and where to improve.
Tools we use: OpenAI, Anthropic Claude, Google Gemini, Vector databases, WhatsApp Business API, Python.
Choosing
Should you use a menu bot, a hosted platform or a custom agent?
Start with the questions you receive. A menu-and-button bot suits a small set of predictable requests, and its paths are straightforward to audit. It is less useful when someone asks a question outside the menu. An AI agent answering from documents fits varied questions when your answers already exist in writing; you will need to keep those sources current and test the replies against real questions.
A hosted chatbot platform is quicker to set up and gives you an inbox and analytics. A custom build gives you more control over data, integrations and behaviour, with more to build and maintain. Your choice affects who maintains the assistant as your content and systems change.
Consider who will use it, too. A customer-facing agent needs limits on its topics and tone, while an internal assistant needs permission checks so staff only see documents they are allowed to access. That distinction belongs in the scope before you choose the interface.
Local
What Chennai businesses need from an AI assistant
Chennai has software services businesses whose support teams can use an assistant to answer from help articles. When an answer is missing, the assistant can open a ticket with the details for a colleague to handle. That gives the support team a defined route for questions that need a person.
Healthcare is also part of the city's business base, and Chennai is a centre for medical tourism. A clinic handling appointment enquiries can use an agent to answer common questions and book, move or cancel appointments outside opening hours. The booking actions need to match the clinic's own process, with a clear way to pass a conversation to staff.
Rules
What an AI assistant in India has to handle
India's data protection rules include notice and security safeguards that are due to come into force. For your assistant, we set up a notice for users and decide what customer data reaches the model provider, how long conversation logs are kept and who can read them. Those choices affect the information the assistant receives and the records your team can review. Agree them before connecting customer conversations.
How it runs
How an AI agents and chatbots project runs with us
At MSH Technologies, we work remotely from India using video calls, WhatsApp and shared project boards.
- 01
Discover
You share examples of real conversations and name an owner for each topic. We use those conversations to cover the questions your team actually receives.
- 02
Connect and draft
We connect the agreed sources and write the assistant's instructions and limits. You review draft answers for accuracy and tone before anyone outside sees them.
- 03
Set up actions
For tools such as a booking calendar or helpdesk, we agree permissions, check the inputs and decide where a person needs to confirm an action first.
- 04
Test
We use a fixed set of real questions and agreed answers. Your staff mark wrong, incomplete or risky replies, and we retest fixes against the full set.
- 05
Launch and care
We handle launch and provide ongoing support. You stay involved through the agreed scope, design feedback and review of the work.
Checklist
What to have ready before we talk
These materials help define what the assistant should answer, access and hand over.
- Common questions and the answers staff currently give, drawn from emails, chats or call notes.
- The FAQs, policies or manuals it may use, with an owner for each source.
- Test accounts or API access for each system, such as your calendar or helpdesk.
- The handover recipient, their available hours and the message shown when nobody is available.
- Your rules for sending customer data to an outside provider and retaining conversation logs.
Cost & time
What affects the cost and timeline of an AI assistant
The scope determines the build work as well as the preparation and review needed.
Source material
Scattered, outdated or scanned documents need more preparation than a current, organised knowledge base.
Actions
An assistant that changes information needs permission design, confirmation steps and test cases for each action.
Accuracy requirements
High-stakes or regulated topics call for larger test sets, more review and tighter limits on replies.
Usage
Conversation volume and model choice affect the provider's ongoing charges, separately from the cost of building the assistant.
Avoid
Mistakes to avoid with AI assistants
Conflicting sources
Clean up outdated policies and resolve conflicting versions before launch, so the assistant is not given different answers to the same question.
No evaluation set
Keep a fixed list of questions and expected answers so you can check the effect of a prompt or model change.
A hidden route to staff
Give customers a clear way to reach a person when the assistant cannot help.
Presenting the assistant as a person
Say plainly that it is automated and explain what it can help with.
Questions
Asked by businesses in Chennai
Page updated 5 November 2026
Which company develops AI chatbots for businesses?
We develop AI agents for websites, WhatsApp and internal teams, using a business's own documents for answers. The agent can also run in Slack, Microsoft Teams or your own app. Choose the channel around where the people asking questions already need help and how your team will handle conversations.
How much does an AI chatbot cost?
There is no fixed price. The scope affects the quote: an answer-only assistant is a lower-risk starting point, while actions need tighter permissions and more testing. Grounding answers in your content and testing where information is missing also affect the work. You can ask us for a quote once the scope is agreed.
What is included in an AI assistant project?
The scope can include an internal knowledge assistant, rules for handing conversations to a person, and usage insights. Your team can ask questions across policies, manuals and documents, while the insights show what people ask, what gets resolved and where the assistant needs improvement.
Who owns the code and content?
You own your domain, content and code, with no lock-in. When agreeing the scope, identify the content the assistant will use and the code that forms part of your project. Keeping ownership with you gives your team a clear basis for managing those assets after launch.
What happens after the assistant launches?
Reviewing conversations and measuring performance should continue after launch. Look at unanswered questions and handovers for gaps in your content, and compare resolution, handover rates, customer ratings and staff time with the period before launch. Rerun the evaluation set after changes to prompts, documents or the model version.
How do you handle the data an AI assistant uses?
We use AI providers that do not train on your data and limit the assistant's access to what it needs. For an agent connected to business tools, access should also be restricted to the necessary actions, with limits on records and frequency and a log of actions taken.
Tell us what you need
Sohail, Founder, replies within 1 working day (Mon–Sat, IST). Free and no obligation.
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