AI consulting for Indian businesses

You sell advice, not software. A business owner tells you where time and money leak, such as slow quotations, manual reports or a stretched support team. You study the tools on offer, pick the few that fit that company and its budget, and write down what to set up and in what order. Then you stay available while their staff try the tools. Work is priced as fixed packages: a short assessment with a tool report, a larger package with a rollout roadmap and savings estimate, and a big engagement spanning several departments. Clients are established firms in the large tech cities, reached mostly through LinkedIn and personal contacts.

Owners of established Indian companies hear about a new AI tool every week. They have no time to test them, they fear paying for software their staff will never open, and their IT person, if they have one, is busy with other work. They need someone to say which two tools to use, for which tasks, and which ones to ignore.

• Ex-consultants or operations people who know many business owners
• Marketers or engineers who already use AI tools daily at work
• People who can explain technology plainly to non-technical owners

• Basic package at ₹75,000: needs assessment, tool report and 30 days of guidance
• Premium package at ₹1,50,000: integration roadmap, ROI analysis and 90 days of support
• Enterprise engagements starting at ₹5,00,000 with six months of support

1. 1List ten owners or managers you know at companies with real revenue, and offer each a free one-hour call to map where they waste time.
2. 2With permission, turn the best three calls into short case notes, and post one a week on LinkedIn showing a specific tool choice and why.
3. 3Offer your first two paying clients a discounted assessment in return for a testimonial, and log your hours so you can price later ones properly.

Nobody pays ₹75,000 to a stranger for advice, so early clients will come from people who already trust you, and a thin network makes this slow. The value is in getting tools working inside a messy company, which is harder than writing a report. Tools change every month, so a recommendation can go stale within weeks.