AI development company in Bangalore for agents and chatbots
Give customers in Bengaluru an assistant that answers questions from your own content, creates support tickets and passes conversations to your team when needed. We build agents for your website and WhatsApp, with actions such as appointment booking or order lookup selected for the work you want to handle. We agree the scope with you before building starts.
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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
- 0%Live and in use
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
Which kind of agent should you build?
A hosted chatbot platform suits a straightforward support setup when you want an inbox and analytics included. A custom build gives you more control over data, integrations and behaviour, but there is more for your project to build and maintain. The choice affects how much of the agent you can shape around your existing work.
For a support desk handling routine requests and open-ended questions, a hybrid agent is a useful option. Buttons guide customers through tasks such as booking or checking an order, while AI handles free-text questions. A person remains available behind both routes when the customer needs help beyond the agent.
Your audience changes the design too. A public agent needs clear limits on the subjects it handles and the tone it uses. An internal assistant needs permission checks so staff only see documents they are allowed to access. Decide which audience and tasks come first; that gives you a clearer scope for the build.
Local
What Bengaluru organisations need from an agent
Bengaluru’s IT sector includes software businesses that need a practical way to handle first-line support. An agent can answer from existing help articles and open a ticket with the relevant details when it cannot resolve a question. That gives the support team a route from the initial conversation to a case they can pick up.
Bengaluru also has prominent higher-education institutions. An internal assistant gives an organisation with a large set of policies and manuals a way for staff to ask questions across those documents. Permission checks need to follow the documents: the assistant should only return material each staff member is allowed to access.
Rules
What the project needs to handle in India
India’s Digital Personal Data Protection Rules on notice and security safeguards come into force on 13 May 2027. For your agent, we select an AI provider that does not train on your data and limit access to what the agent needs. We also agree what customer data reaches the provider, how long conversation logs are kept and who can read them, so those decisions are part of the build.
How it runs
How an agent project runs with us
We work remotely from India, using video calls, WhatsApp and a shared project board to keep the work and your feedback in view.
- 01
Discovery
You share a sample of real conversations and name an owner for each topic. We use those questions to define what the agent should handle, so the scope reflects the requests your team actually receives.
- 02
Build and review
We connect the agreed sources and write the agent’s instructions and limits. You review draft answers for accuracy and tone before anyone outside your team sees them, and give feedback on what needs changing.
- 03
Testing
We use a fixed set of real questions with agreed correct answers. Your staff mark replies that are wrong, incomplete or risky; we retest each fix against the whole set, including questions that had already passed.
- 04
After launch
Review a sample of conversations regularly, especially unanswered questions and handovers. Those conversations show where content is missing and which new topics people are raising, giving your team a basis for the next changes.
Checklist
What to have ready before we talk
Bring these to the discussion.
- Source documentsGather the FAQs, policies, price lists or manuals the agent may use, with an owner for each.
- Excluded topicsList subjects the agent must avoid and what it should say instead.
- System accessArrange test accounts or API access for the calendar, CRM, helpdesk or order database involved.
- Handover routeName the recipients, their hours and the message customers receive when nobody is available.
- Data rulesBring your internal rules on provider access, log retention and who may read conversations.
Cost & time
What affects cost and delivery time
The scope determines the work needed for an agent.
Source material
Scattered, outdated or scanned documents take more preparation than a current, organised knowledge base.
Connected systems
Each integration adds work, particularly when a system lacks a documented API and needs a workaround.
Actions
An agent that changes things needs permissions, confirmation steps and test cases for each action.
Accuracy requirements
High-stakes or regulated topics need larger test sets, more review and tighter limits on answers.
Avoid
Mistakes to avoid with agents and chatbots
Automating an unsettled process
Agree how bookings or refunds work before asking the agent to handle them. Otherwise it can spread the same confusion your staff are already dealing with.
Hiding human help
Give customers a clear route to a person in every conversation, so they do not get stuck repeating themselves to the bot.
Presenting the agent as a person
Say plainly that it is an automated assistant and explain what it can help with. Customers then know what to expect when a conversation is handed over.
Questions
Asked by businesses in Bengaluru
Page updated 5 November 2026
Which companies develop AI chatbots?
You can work with MSH Technologies, a web, app and AI development studio in India. Our agent stack includes Python, vector databases and the WhatsApp Business API, alongside models from OpenAI, Anthropic Claude and Google Gemini. Ask about the systems and behaviour you need when comparing a provider.
How much does an AI agent cost?
There is no fixed price. The work depends on the state and upkeep of your source material and on the tools the agent needs to use. Each tool needs permissions, input checks and a decision about human confirmation. We send a free quote once the scope is agreed.
Should we start with an agent that only answers questions?
An answer-only agent is the lower-risk place to start. We ground its answers in your content and set limits so it says it does not know when an answer is missing. Actions such as changing records, issuing refunds or taking payments call for tighter permissions, confirmation steps and more testing.
Where can the assistant run?
It can run on your website, WhatsApp, Slack, Microsoft Teams or inside your own app. For an internal use case, we also build knowledge assistants that let your team ask questions across policies, manuals and documents. Choose the channel around the people who need to use the assistant.
Who owns the work after launch?
You own your domain, content and code, with no lock-in. Agreeing what the agent is allowed to say and do is part of the work as well. We test those limits against real questions, so your team can review how the assistant behaves before relying on it.
How do we check the agent after launch?
Compare resolution rates, handover rates, customer ratings and staff time saved with the period before launch. Rerun the evaluation set after changes to prompts, documents or the model version. A fix in one area can affect another, so the same questions need to be checked again.
Tell us what you need
Sohail, Founder, replies within 1 working day (Mon–Sat, IST). Free and no obligation.
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