What Is an AI Opportunity Assessment? (And What It Actually Costs)
Search for "AI readiness assessment" and you'll land on two kinds of pages. Pricing guides written for enterprise buyers, with tiers starting at $15,000 and climbing past $500,000. Or pages written for consultants figuring out how to price their own services. Neither is written for the small business owner trying to decide if this is worth a few hundred or a couple thousand dollars.
So here's the version written for you.
The terminology is a mess, on purpose
"AI readiness audit." "AI opportunity assessment." "AI potential analysis." Different providers use these terms almost interchangeably, and the vagueness works in their favor, because it means you can't easily compare what you'd get.
Cut through it: what you want is a structured session where someone maps your day-to-day work, identifies which tasks are strong candidates for AI, and hands you a prioritized plan with concrete numbers attached. If a provider can't tell you plainly what happens in the session and what you walk away with, that's worth noticing.
What it actually costs, by tier
| Tier | Typical range | What it fits |
|---|---|---|
| Small business / solo | $997–$1,500 | 1–5 people, one owner making decisions, a handful of core workflows |
| SMB, team-based | $2,000–$8,000 | 10–25 people, more coordination overhead, a team to bring along, not just an owner |
| Enterprise | $15,000–$500,000+ | Large organizations, multiple departments, formal procurement processes |
If you're a small business owner and someone quotes you enterprise pricing, or a vague "let's hop on a call to discuss," that's a sign the offer isn't built for your size.
What happens in the session
A good assessment isn't a slide deck. It's a working session, usually 60-90 minutes, structured around a few steps:
- Mapping your recurring work. Not a generic industry checklist, your weekly tasks, in your own words.
- Tagging friction. For each task, where does it slow down, where do mistakes creep in, what would you warn a new hire about?
- Filtering for AI fit. Not everything is a good candidate. The strongest ones are repetitive, involve moving information between places, and follow a pattern you could describe as a checklist.
- Prioritizing. Plotting what's found by impact and effort, so you know what to do first.
An example of what this looks like in practice
One coaching client we worked with had a habit she'd never once questioned: every time someone booked a call, she'd open her calendar, fill in the details, generate an invite link, then paste that link into whatever chat she happened to be using. Five steps, a dozen times a week.
That's the entire point of an assessment. Not showing someone a list of AI tools. Sitting with their week until a moment like that surfaces, something so routine it had never occurred to her to question it. Once it did, the fix was small (a proper calendar invite instead of a copy-pasted link) but it removed the whole habit, not just sped it up.
That's the pattern worth watching for in your own business: not the tasks that feel hard, the ones that feel so normal you've stopped noticing them.
A note on what "results" actually mean
We're also currently working with a family-run print and promotional-products business on a task their team repeats hundreds of times a month: manually placing a customer's logo onto a product image before every order goes to print. Right now that's a proposed project, not a finished one, and we're careful not to present it as a completed result until it is one. If a provider shows you nothing but flashy "after" numbers with no mention of a real client name, date, or verifiable detail, ask where those numbers came from.
Compare that to a case we can point to directly: a department administrator at a medical university's internal medicine program was spending 4-5 hours a day, every day during the year's busiest week, manually processing over 250 resident requests. That workflow is now automated end to end, with manual time reduced to essentially the review step. The numbers are real because the workflow was real, documented, and already run for years before anyone touched it with AI.
Who this is for
An assessment like this fits best if:
- You're owner-led, from a solo operator up to about 25 people
- At least some of your processes are already documented, even loosely
- The owner is curious about AI, even if nobody else on the team has touched it yet
If your business doesn't have any of that yet, in other words nothing documented and no appetite from the top, an assessment will surface less than it would for a business that does. That's worth knowing before you book one, not after.
When you need more than an assessment
An assessment is the front door, not the whole house. If the mapping session turns up one big, specific process worth building a tool around, that's a different, larger project. If it turns up a whole team that needs to move together, not just the owner, that's a structured program over several weeks, not a single session. Either is fine, but know going in that the assessment's job is to tell you which one you need, not to assume it upfront.
Find out what your version of this looks like.
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