Free Scorecard
AI Readiness Assessment for Small & Mid-Market Businesses
Score your readiness in five minutes against a 12-point checklist covering data, workflows, leadership, and use-case clarity, then get a prioritized 90-day plan.
Direct Answer
An AI readiness assessment evaluates whether a business has the data, documented workflows, internal champion, leadership alignment, and use-case clarity to successfully implement AI. For SMBs, scoring 75+ signals you can move to a build sprint; scoring under 50 means foundation work pays back faster than tooling.
How accessible is your operational data today?
The 12-Point AI Readiness Checklist
These are the dimensions we evaluate inside the paid $7,500 Diagnostic. Walking them yourself surfaces 80% of what we'd find. The diagnostic adds the workflow mapping, vendor fit, and 90-day implementation plan with named owners.
Data accessibility
Is operational data centralized, clean, and exportable from your core systems?
Documented workflows
Are the top 5 repeatable processes written down or living in people's heads?
Internal champion
Is there one named owner with capacity to test, iterate, and roll out AI tools?
Leadership alignment
Has leadership picked 1–2 outcome priorities for AI in the next 90 days?
Use case clarity
Have you identified a specific workflow with measurable ROI as the first target?
Budget appetite
Is there real budget, at least $2,500 per month, to fund a pilot through outcomes?
Change capacity
Can your team absorb a new workflow without breaking what's already working?
Compliance posture
Have data, privacy, and regulatory constraints been mapped before tooling?
Tech stack readiness
Do your core tools have APIs, integrations, or export paths AI can plug into?
Measurement infrastructure
Will you be able to measure time saved, cost reduced, or revenue lifted?
Vendor strategy
Have you decided build vs buy vs partner before evaluating specific tools?
Sunset plan
If a pilot fails, do you have a clean stop rule, not sunk-cost momentum?
Frequently Asked Questions
What is an AI readiness assessment?
An AI readiness assessment evaluates whether a business has the data, workflows, leadership alignment, and internal capacity to successfully implement AI. It surfaces gaps before money is spent on tools and produces a prioritized roadmap of where AI will deliver measurable ROI first.
How long does an AI readiness assessment take?
A self-scoring assessment takes 5 minutes. A guided diagnostic (interviews, system review, workflow mapping) typically runs 2–3 weeks and concludes with a written report and 90-day roadmap.
Who should take an AI readiness assessment?
Any small or mid-market business considering AI implementation. It's especially valuable for $1–25M companies without an in-house technical team, where one wrong tooling decision can sink a quarter of budget with nothing to show.
What's the difference between a readiness assessment and a diagnostic?
A readiness assessment scores your starting position. A diagnostic, like the $7,500 Diagnostic we run, is a paid engagement that maps your highest-leverage use cases, evaluates vendors, and ships a 90-day implementation plan with named owners and KPIs.
What if my readiness score is low?
A low score is information, not a verdict. It means the next investment should be on foundation (documenting workflows, naming a champion, aligning leadership) rather than on tools. Most SMBs we work with start at 40–55 and reach 75+ within 60 days of structured work.
Ready to go from assessed to executed?
The $7,500 Diagnostic turns your readiness into a 90-day implementation plan with named owners, vendor selection, and measurable KPIs.
Explore the Diagnostic