What is an AI audit?
The smartest, lowest-risk first step before spending a dollar on AI — explained in plain English.
IN SHORT
An AI audit is a short, paid review that finds the 2–3 places in your business where AI would genuinely save time or money — before you build anything. You get a report, a ranked list of opportunities, tool recommendations, and a roadmap. Typical cost: $1,500–$5,000. It's the diagnosis before the treatment.
Everyone's being told to "adopt AI," but almost nobody tells you whereto start. That's what an AI audit is for. I'm Jeff Cadet— I build and deploy AI tools in production, including an MCP server submitted to Anthropic's directory — and I always recommend businesses start here.
The contractor analogy
A good contractor walks the house before quoting the renovation. They're not fixing anything yet — they're diagnosing. An AI audit is the same: I study how your business actually runs day to day, then tell you exactly where AI pays off and where it's a waste of money.
What the audit looks at
- Repetitive work — paperwork, data entry, copy-paste tasks that eat hours.
- Customer touchpoints — support, intake, follow-up, FAQs.
- Knowledge bottlenecks — information trapped in documents nobody can search.
- Growth tasks — lead research, outreach, content.
What you walk away with
A short, practical report: a ranked list of where AI helps most, the specific tools to use, rough cost and ROI, the data and privacy risks to watch, and a roadmap— do this first, here's the payoff. No jargon, no 80-slide deck.
Why it's worth paying for
Most AI projects fail not because the tech can't do the job, but because someone bought tools for the hype and never connected them to a real workflow. The audit prevents that. It's low-risk — far cheaper than committing to a build — and it usually saves you more than it costs by steering you away from the wrong tools.
Frequently asked questions
What is an AI audit?
An AI audit (or AI opportunity audit) is a short, paid review of a business's workflows to identify where artificial intelligence would genuinely save time or money — before building anything. It produces a written report that ranks the best opportunities, recommends specific tools, estimates costs and ROI, and flags risks. Think of it as a diagnosis before the treatment.
What do you get from an AI audit?
A typical AI audit delivers: an inventory of your current workflows, a ranked list of where AI helps most (and where it's a waste), specific tool and model recommendations, rough cost and ROI estimates, data-privacy and security considerations, and a prioritized roadmap of what to implement first.
How much does an AI audit cost?
A focused AI opportunity audit for a small or mid-sized business typically costs $1,500 to $5,000, depending on the size of the business and the number of workflows reviewed. It's intentionally low-risk compared to committing to a full build, and it often pays for itself by preventing wasted spend on AI tools that don't fit.
Why start with an audit instead of just buying AI tools?
Because most AI projects fail from adopting tools for hype rather than for a measurable workflow. An audit makes sure you spend money where it actually returns value, avoids tools that don't fit your data or team, and gives you a clear roadmap instead of a pile of half-used subscriptions.
Start with an audit
It's the first step in my AI adoption consulting. Tell me about your workflowsand I'll give you an honest read on what's worth doing — first conversation free.
By Jeff Cadet — full-stack developer building AI in production. Get in touch.