How to conduct an AI maturity assessment for small businesses
A practical framework consultants can use to score where a small business stands today on AI — and turn that score into a concrete roadmap.
Why a maturity assessment matters
Most small businesses don't need an AI strategy — they need a starting point. A maturity assessment gives you a shared, honest baseline. It replaces "should we use AI?" with "where, exactly, will AI move the needle in this business?"
The five dimensions to score
Score each dimension on a 1–5 scale (1 = ad hoc, 5 = optimized):
- Data & systems — how clean, centralized, and accessible the business's data is.
- Process maturity — how documented and repeatable core workflows are.
- Team capability — comfort with software, willingness to try new tools, time available to learn.
- Tooling — current SaaS stack and whether AI features are under-used inside it.
- Strategic clarity — how clearly the owner can articulate goals, constraints, and the next 12 months.
Questions to ask in the interview
- Walk me through a typical week. Where does time disappear?
- What are the three most repetitive tasks anyone here does?
- Where are customers waiting on you? Where are you waiting on them?
- What tools do you already pay for that you barely use?
- If you could hand one job to a "smart assistant," what would it be?
From score to roadmap
Pair each low-scoring dimension with a single, concrete next step. A team-capability score of 2 calls for a 30-minute weekly "AI hour," not a six-figure platform rollout. A tooling score of 4 with a data score of 1 means the quickest wins live in cleanup, not new software.
How this tool automates it
The AI Opportunity Report runs this exact assessment for you. Your client answers a 15-minute questionnaire, and the report you deliver includes industry-specific opportunities, hours saved per week, an estimated annual impact, and a phased roadmap — all branded to you.