Summary: A fractional AI advisor is ongoing, part-time access to someone who knows AI and knows your business - the same idea as a fractional CFO, at a fraction of a hire. A typical small-business retainer includes a monthly workflow build, asynchronous questions answered fast, and a monthly call, for $1,500-2,500/month. It beats one-off projects when AI decisions keep arriving faster than your projects do.
The problem the retainer solves
Most AI consulting is sold as projects: an assessment, a build, a workshop. Projects are the right buy when the question is bounded - “set up our missed-call follow-up” has a beginning and an end.
But a lot of what a small business actually needs is judgment on a drip: Is this new tool real or hype? Should we let the team use AI on client documents? Why did our drafting workflow get worse last month? Vendor says their product is “AI-powered” - is that meaningful? None of those is a project. All of them cost real money when answered wrong, and they arrive every month, forever, because the landscape doesn’t stop moving.
Hiring for this is absurd at small-business scale - an AI-literate operations hire runs six figures. The fractional model is the same answer the market found for finance (fractional CFO) and marketing (fractional CMO): share the expert.
What a fractional AI advisory retainer includes
Mine looks like this; the shape is representative of the category:
- One workflow build per month - a working automation or AI workflow, picked together from your backlog, delivered and documented. (Higher tier: two.)
- Questions answered within a business day - tool evaluations, “is this safe,” “how would I,” sanity checks before you sign a vendor contract. (Higher tier: same-day.)
- A monthly call - review what last month’s build actually saved, pick the next one, and a standing tally of hours recovered since the engagement started.
- Cancel anytime. A retainer that needs a long contract to keep you is answering the wrong question.
Typical small-business pricing runs $750-2,000/month depending on tier. Current pricing here.
Retainer vs. project: how to choose
| Your situation | Better buy |
|---|---|
| You don’t know where AI fits yet | Start with an assessment - a retainer with no roadmap drifts |
| One specific workflow to fix | Fixed-scope project |
| A roadmap with 5+ items and no one to execute it | Retainer - one build a month works the backlog down |
| AI questions keep landing on your desk weekly | Retainer - the async channel is the half you’ll use most |
| Team needs skills, not systems | Workshop or coaching, not a retainer |
What a good engagement looks like by month three
A concrete picture: three builds live (say, missed-lead follow-up, a proposal drafting system, and meeting-notes automation), a running tally showing 15-20 hours a month recovered, and a question thread with a dozen answered judgment calls - including at least one “don’t buy that tool” that paid for the quarter by itself.
If your advisor can’t show you the tally, ask why. The number is the product.
Red flags when hiring one
- No deliverable cadence. “Access” without a monthly build means you’re paying for availability, not output.
- Long lock-ins. Annual contracts for advisory work shift the risk entirely onto you.
- Tool kickbacks. Ask directly whether they take referral fees from tools they recommend. (I don’t - it’s the only way “cancel that subscription” stays credible advice.)
- Can’t say what they’d do in month one. A real answer references your workflows, not a generic onboarding deck.
When this matters - and when it doesn’t
This applies if: you’re a 2-50 person business already convinced AI matters, with more candidate workflows than time, and recurring AI decisions nobody on staff is equipped to call.
Skip this if: you haven’t used AI seriously yet (start with an assessment or a coaching session), or you have one bounded problem (buy the project).