AI readiness audit for small and mid-size companies
A week of work that tells you which three things to do with AI, what each costs, and what to leave alone.
Most companies asking about AI do not need a strategy deck. They need someone to look at how the work actually happens, find the two or three places where a machine would genuinely help, and put a number on each one.
The audit exists because the alternative is expensive. Starting with the wrong process burns a five-figure budget and leaves the team convinced AI does not work here. Half of what I find in an audit turns out not to need AI at all, and saying so is part of the job.
Who this is for
- You know AI should be useful somewhere, but the shortlist keeps changing depending on who you ask.
- Somebody has already proposed a project and you want an independent read before committing the budget.
- A team of roughly 5 to 200 people with processes that repeat and are currently done by hand.
If you already know exactly which process to automate and just need it built, skip the audit and go straight to the build. It will save you a week and 450 euros.
What you get
- A map of the processes reviewed, with volume, time spent and what each costs today.
- A prioritized shortlist of AI opportunities, ranked by payback rather than by how interesting they are.
- An explicit do-not-do list: what looks tempting and would not pay off, with the reason.
- A budget range and a realistic timeline for each item on the shortlist.
- A data and tooling readiness check: what exists, what is missing, what must be fixed first.
- An implementation plan you can hand to any contractor, not only to me.
How it runs
A questionnaire and one call. What the company does, where the time goes, what has already been tried.
Interviews with the people doing the process, plus a look at the actual documents, tools and exports.
Each candidate gets volume, current cost, expected effect, build cost and running cost. Then they get ranked.
A written report and a call to go through it, including the items I recommend against.
Questions people ask first
- What do we actually receive at the end?
- A written report: the processes reviewed with their current cost, a ranked shortlist of AI opportunities with budget and timeline for each, an explicit list of what not to do, and a readiness check on your data and tools. Plus a call to walk through it.
- Do we have to hire you for the implementation?
- No. The plan is written so any competent contractor can execute it. Several audits have ended with the client's own developer building the first item, which is a fine outcome.
- Will the audit fee be credited if we continue?
- Yes. If you go ahead with a build within three months, the audit fee comes off the project price.
- How much of our time does it take?
- Roughly three to four hours in total: one intake call, two or three short interviews with the people who run the process, and access to some real examples.
- What if the answer is that we do not need AI?
- Then that is the report, and it is the most valuable one I can write. It has happened, and those clients came back later when something did fit.
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