Key facts
| Good fit | Reading documents, sorting requests, drafting replies, answering from your own data |
|---|---|
| Poor fit | Unsupervised payments, legal advice, anything where one wrong answer is costly |
| AI feature in an app | Adds about ₹40k–₹1L. Typical workflow tool with one AI feature: ₹2.1L–₹3.4L |
| Agent that takes actions | Adds about ₹1L–₹2.5L. Typical: ₹2.7L–₹4.9L |
| Human control | A person approves anything irreversible |
What is an AI agent, in plain terms?
A chatbot answers questions. An agent also does something: it reads an email, finds the order, checks stock and drafts the reply or updates the record. It chains several steps and uses tools, such as your database, a spreadsheet, WhatsApp or email.
Most useful agents for a small business are narrow. They do one job in one workflow, and they are built into your software, not bolted on.
What can AI agents do for an Indian SMB today?
- Read invoices, purchase orders and forms, and fill the fields in your system.
- Triage inbound requests by type and urgency, and route them to the right person.
- Answer staff questions from your own policies, price lists and past records.
- Draft replies and follow-ups for a person to review and send.
- Summarise long threads, calls or reports into a few lines.
- Flag exceptions: a missing document, a mismatch, an overdue approval.
In each case the agent saves reading, typing and sorting. The decision stays with a person unless the risk is low.
What can AI agents not do reliably?
Agents make mistakes that sound confident. That rules out some jobs.
- Move money or change prices without a person approving it.
- Give legal, medical or tax advice to customers.
- Work from messy data that your own team cannot interpret.
- Replace judgement on edge cases, such as an unusual contract clause.
- Run forever without checking, since inputs and models change.
If you cannot describe how a good employee would do the task, an agent will not do it either.
How does Neyven build AI features and agents?
- Pick one workflow and write down what a correct result looks like, with real examples.
- Build the agent inside the app, with the minimum access it needs.
- Test it on your real documents and measure where it is wrong.
- Add a review step: low-risk results go through, uncertain ones go to a person.
- Hand over the code and prompts, plus a note on running costs.
The delivery method is the same as for any project; see how we build. Your data is never used to train models.
What does it cost?
| Level | Example | Added to the project |
|---|---|---|
| No AI | Standard workflow software | Nothing |
| One AI feature | Read invoices and fill fields; answer questions from your documents | ₹40k–₹1L |
| Agent that acts | Triage, look up records, update systems, draft replies with approval | ₹1L–₹2.5L |
Cost drivers, running costs and what to budget for the first year are in AI agent development cost in India.
Should you start with an agent at all?
Usually not. If your process still lives in spreadsheets and chats, start with the workflow software; an agent then has clean data and clear places to act. See workflow automation software in India. Adding AI to a working system is smaller and safer than building around it.
Frequently asked questions
Do you build chatbots for websites?
Not as a standalone product. We add AI to business software, such as answering staff questions from your records.
Which AI models do you use?
We choose per task, based on accuracy, cost and data needs. The choice is documented, and you can change it.
Is my data safe?
Agents only get the access a task needs, and your data is not used to train models. Details are fixed in the scope.
How accurate will it be?
That depends on your documents. We test on your real examples and tell you the error rate before you rely on it.
What are the running costs?
Model usage is billed by the AI provider and depends on volume. We estimate it in the scope.