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An AI audit is a structured look at how your business runs, to find the repeat work that AI or automation could take off your team. A good one ends with a written plan: what each task costs you, the right fix for each, what each fix needs, and where to start. It should also tell you where AI doesn't belong.
The phrase gets used loosely. Some “AI audits” are a sales call with a slide deck; others are a generic readiness checklist. Here's what a useful one looks like from the side of the business being audited, and how to tell the difference before you book.
What is an AI audit, really?
Despite the name, a good AI audit isn't about AI. It's about your work. The question isn't “where can we use AI?” but “where does our team's time go, and what's the right fix for each part of it?” Sometimes that fix is AI. More often it's automation, a better process, or stopping a task altogether. (We explain that split in AI or automation? Three questions to decide.)
An audit that only ever recommends AI is really a sales process.
What a good AI audit covers
1. Where the time goes
The repeat work, task by task, and roughly what each one takes. This should come from the people who do the work, not just from managers, because the people closest to a task know where the time actually goes.
2. The right fix for each task
Every task should get a clear verdict: automate it, use AI with a person checking, fix the process first, or stop doing it. If every recommendation is “use AI”, be suspicious.
3. What each fix needs
The tools you already have, the rough effort involved, and what changes for your team. A good audit builds on the software you already pay for wherever it can, instead of selling you a new platform.
4. Where to start
The first moves, in order, ranked by payoff. You should finish the audit knowing exactly what to do next, whether or not you hire anyone to do it.
5. Where a person stays in charge
Where a person needs to stay in the loop, what data each system would touch, and who controls access. Anything that reaches a customer or touches money should have a person approving it.
What you should walk away with
A written report you keep. Not a call summary, and not a proposal dressed up as findings. It should be useful even if you never speak to the auditor again. At a minimum it should include:
A list of the repeat work, with rough hours or frequency
A verdict for each task, with the reason
What each fix needs: tools, effort, and changes for the team
A ranked starting point
Clear notes on what not to automate
Questions to ask before you book
Will I get a written report, and is it mine to keep?
Do you ever recommend not using AI? Ask for an example. A good answer comes quickly.
How much of my team's time will it take? A first look shouldn't need more than a short call.
Do I have to buy anything to get the findings?
Who will I actually talk to? You want the person doing the analysis, not a salesperson.
What tools do you work with? The recommendations should fit the software you already use.
Red flags
A recommendation before they understand how your business runs
Every problem solved with the same product
A “report” that's really a quote
No mention of where a person stays in charge
Vague findings with no ranking and no next step
Free vs paid AI audits
Paid audits can go deeper, with workshops, system reviews and detailed cost modeling, and for complex operations that depth can be worth paying for. A free audit should still give you something real: a clear view of where the time goes and where to start. If a free audit leaves you with nothing but a sales call, it wasn't an audit.
What our free AI audit looks like
For transparency, here's ours. It's a 30-minute call where you tell us how the business runs and where the time goes. There's nothing to prepare, and no sales pitch. In 1-2 days you get a written report: the repeat work we found, the right fix for each task, what each fix needs, and where to start, ranked by payoff. It's yours to keep, whether or not we work together.
We take on 10 free audits a month, so each one gets our full attention. If you'd like a sense of how we think first, our AI consulting page explains the approach.
Frequently asked questions
How long does an AI audit take?
It depends on the audit. Ours is a 30-minute call, with the written report in 1-2 days. Deeper paid audits can run for weeks.
Do I need to prepare anything?
Not for ours. You tell us how the business runs, and we ask the questions.
Is an AI audit the same as an AI readiness assessment?
They overlap. A readiness assessment usually scores how prepared you are for AI in general. An audit like ours looks at your actual work, task by task, and tells you what to do about each part of it.
What if the audit finds nothing worth automating?
Then a good auditor tells you so, and says why. That's a useful answer too, and it should cost you nothing.