AI for small businesses in India: where it helps and where it does not
By Hayati NextGen Technologies · Published
In brief
- The short answer
- AI helps most when it takes over a specific, repetitive task, such as reading documents, drafting replies or searching your own files, and a person checks the result. It is a poor fit where every decision must be right with no review, or where there are no examples to test against.
Start from a task, not a technology
The useful question is not "how do we use AI?" but "which repetitive task costs us the most time, and could a tool take the first pass?" Pick one task with a clear start and finish, such as reading invoices or sorting enquiries, and judge AI against it.
Where AI tends to help
These tasks are repetitive, have examples of good results, and are easy for a person to check.
- Extracting fields from invoices, forms and other documents.
- Drafting replies to common customer questions for a person to approve.
- Searching across your own documents and answering questions from them.
- Sorting incoming enquiries by type or urgency.
Where it is a poor fit
Avoid AI for decisions that must always be right with no review, and for tasks where you have no examples to test against. Unchecked output on legal, medical or financial matters can cause real harm, so keep a qualified person in charge.
Test on your own documents
Demonstrations use clean examples. Your documents may be scanned, photographed or written in English, Gujarati and Hindi, and results vary with the tool and the quality. Test on your own samples before you commit, and measure how often the output is right.
Handle data carefully
Decide what information goes to which service, where it is processed and who can see it, before you build. Avoid sending sensitive data where it is not needed. India's Digital Personal Data Protection Act, 2023 sets duties for handling personal data; this article is not legal advice, so confirm what applies to you with a qualified adviser.
Start small and measure
A good first project is small enough to finish and measurable.
- Choose one task and write down how long it takes today.
- Run a prototype on a sample of your own data.
- Keep a person reviewing every output at first.
- Compare the time saved with the running cost before you expand.
Where to go next
- AI applications: Practical AI for real business processes, with people reviewing the output.
- How a project works
- How we price projects
- More articles
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