AI Readiness Audit
An AI readiness audit maps your processes, data and systems, and produces a ranked list of where AI would actually pay for itself in your business — with the places it would not stated just as plainly. It is a two to four week engagement that ends in a document, not a build.
Who it's for
Any business that keeps being told it should 'do something with AI'.
What changes
A clear, costed shortlist instead of a vague ambition.
- Starting at
- ₹75,000
- Timeline
- 2–4 weeks for an audit
- Category
- AI Consulting & Enablement
- Built from
- Vashi, Navi Mumbai
Key takeaways
- The most valuable output is often the list of things not to build.
- Data availability, not process suitability, is usually the binding constraint.
- Every opportunity is costed and sized so you can compare them against each other.
- Two to four weeks from ₹75,000, credited against a subsequent build.
- You can take the report to any vendor — it is not a proposal for our own work.
Why this exists as a separate engagement
Most businesses arrive at AI with a specific idea — usually a chatbot — that came from a competitor's website or a LinkedIn post. Sometimes it is the right idea. Frequently the largest opportunity in that business is somewhere nobody has looked.
Building the wrong thing well is the most expensive outcome available. A ₹6,00,000 system that works perfectly and addresses a process costing you ₹40,000 a year is a loss regardless of how good the software is.
So we sell the assessment separately, priced so it is not a significant commitment, and we credit it against a build if you go ahead with us. That structure keeps our incentive on giving you an honest map rather than finding reasons to quote.
What we look at
The audit covers four areas, and the order matters — process opportunities are meaningless if the data to support them does not exist.
| Area | What we assess | Typical finding |
|---|---|---|
| Processes | Where time and errors concentrate | The obvious candidate is not the biggest |
| Data | What exists, where, how clean | Usually the binding constraint |
| Systems | What can be integrated with, and how | APIs are often the deciding factor |
| People | Who would use it, and would they | Adoption risk is underestimated |
| Compliance | DPDP, sector rules, contractual limits | Occasionally rules an option out |
How the two to four weeks are spent
Most of it is sitting with the people who do the work, which is where the real information is.
We interview across levels — the owner's view of where the problems are and the operator's view are usually different, and the operator is usually right about the detail. We watch processes being performed rather than relying on how they are described. We look at actual data samples, not schema documentation.
We also read your systems: what your ERP or CRM can export, what has an API, where data is being retyped from one system into another. That last one is where the cheapest wins usually hide.
What the report contains
A ranked list of opportunities, each with an estimated cost to build, an estimated annual benefit, the data and system prerequisites, the risks, and a confidence level on the estimate.
A data readiness assessment stating plainly what exists, what is usable and what would need work first.
A recommended sequence — what to do first and why, usually chosen for learning value as much as return, because the first project's job is partly to teach your organisation how these work.
And an explicit list of what we would not recommend, with reasons.
Who should commission one
Businesses considering a meaningful spend — roughly ₹5,00,000 upwards — where getting the choice wrong is expensive. At that level, ₹75,000 to be confident about the target is straightforwardly good value.
Businesses that have been quoted by several vendors for different things and cannot evaluate the proposals. The audit gives you a basis for comparison that is independent of who is selling.
Businesses that tried something already, it did not work, and nobody is sure why. Diagnosing that is often more useful than the original assessment would have been.
If you already know exactly what you want, have the data for it, and it is clearly worth building, skip this and get a quote.
Cost, and what you own
From ₹75,000 for a typical SMB with one or two locations, taking two to four weeks. Larger or multi-site organisations cost more and take longer, quoted after a short scoping conversation.
The full fee is credited against a build if you commission one from us within six months.
The report is yours without restriction. Take it to another vendor, use it internally, or shelve it. We write it to be useful to whoever reads it rather than as a document that only makes sense if we do the work.
FAQ
AI Readiness Audit — your questions
Will you just recommend your own services?
The recommendations are for capabilities, not for us. Where an off-the-shelf product solves your problem better than a custom build, the report says so and names it — we have recommended existing SaaS products more than once. Where the right answer is a process change with no software at all, it says that. The credit structure means we are not dependent on the audit producing a project, which is precisely why it is structured that way.
How much of our team's time does it take?
Roughly eight to twelve hours across the engagement, spread over several people — a couple of hours with the owner or MD, an hour each with department heads, and time observing the processes we are assessing. We work around your schedule and most of it happens on your premises. The most valuable sessions are usually with the people doing the operational work, and those need to be candid conversations rather than supervised ones.
What if we have no data at all?
That is a legitimate finding and a common one. Many SMB processes run on paper, WhatsApp and memory. The report would then be about what to start capturing and how, since most AI opportunities become available six to twelve months after you begin recording something. Being told that is more useful than being sold a system that has nothing to learn from. It is also usually a cheap fix.
Can you do this remotely?
Partially, and it is a weaker audit. Interviews work over video and system assessment works from exports and screen sharing. What does not translate is watching work actually happen — the gap between how a process is described and how it is performed is where a lot of the findings come from. For clients outside Mumbai and Navi Mumbai we usually propose a hybrid with one or two days on site.
How accurate are the cost and benefit estimates?
Cost estimates are within roughly 25% for the projects we would build ourselves, since we are estimating our own work. Benefit estimates carry more uncertainty and are presented as ranges with the assumptions stated, so you can challenge them. Where we cannot estimate a benefit with any confidence — usually because the current process is not measured at all — the report says so and recommends measuring it before committing.
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Next step
Want a AI Readiness Audit for your business?
Tell us what the process looks like today and we'll tell you what it would look like automated — and what it would cost.