What’s included
(05)Everyone says you need AI, but nobody can tell you which task it should do first or whether it will do it well enough.
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A review of how work gets done
We look at your product, your content and your daily operations, and find the tasks that eat the most time or produce uneven results.
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A check on your data
What data you have, where it lives, who is allowed to use it and what the law asks of you. The data usually decides what AI can do, more than the tool does.
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Buy, build or wait
For each idea, whether an existing tool does the job, whether it is worth building your own, or whether it is better to wait. With what each choice costs to run.
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The risks, written down
Where an AI answer could be wrong, leak something private or embarrass the brand, and what it would take to make that safe.
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An AI use policy
If your team already uses AI tools, a short set of rules on what they can paste in, what must be checked and what must be disclosed.
When you need it
- Your board or investors keep asking what your AI plan is.
- Staff are already using AI tools, with no rules on what goes in.
- A vendor is pitching an AI product and you cannot judge the claims.
- One task costs your team hours every week and you suspect a machine could help.
How it runs
(04)You get a written scope, a fixed price and a start date before anyone begins.
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Listen
We talk to the people doing the work and ask which tasks they would hand over first.
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Map
Each task is checked against your data, your risks and what current models do reliably.
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Rank
Ideas are ordered by value against effort and risk, with the ones to avoid marked plainly.
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Recommend
You get the list, a first test to run, and the reasons behind every call.
What you leave with
- A ranked list of AI opportunities and risks
- A buy, build or wait call for each idea
- A plain view of what your data allows
- A short AI use policy for your team
- One first test, scoped and ready to run
Start your project with us
FAQ
Answered questions.
Finds the specific tasks in your business where AI helps, and the ones where it does not. You get a short ranked list with reasons, not a strategy deck, and a first test you can run.
No. Checking what data you have and whether you can use it is part of the review. If the data is not ready, we tell you, and say what would fix it.
No. Often the right answer is an existing tool, or waiting. When building is worth it, a working prototype comes first, so you see it work before committing.
We flag where personal data is involved and what India’s DPDP Act asks of you in plain terms. We are not a law firm, so for formal legal advice we say when to bring in your lawyer.
