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AI Adoption Decision

Find out if your company is ready for AI

Most mid-market companies invest in AI before they know what's missing. Eleven questions, five dimensions — a score that shows where you stand and what to fix first.

Free · About 3 minutes · Instant result, no email required

Check your readiness

Answer eleven questions — pick the option closest to how things actually are. No right answers, only accurate ones.

How the score works

Eleven questions, five dimensions, scored 0–100. The model measures one thing: how likely your first AI initiative is to survive contact with reality. Answer options are facts, not self-ratings — harder to flatter yourself.

01

Strategy & Use Cases

2 of 11 questions

Whether AI has a defined job here — named processes, expected outcomes, numbers attached.

Why it matters. Without a named use case, adoption turns into tool shopping: six months of demos, nothing in production. Everything downstream inherits this clarity.

02

Data

2 of 11 questions

Whether a pilot could actually be fed — where the data lives, in what quality, and who can produce it.

Why it matters. This is where most mid-market pilots die: month two, when the model needs 24 months of clean records and nobody can pull them.

03

People & Ownership

2 of 11 questions

Whether someone owns the outcome day to day — and whether an executive sponsor with a budget line stands behind the interest.

Why it matters. Initiatives run by enthusiasts alongside a day job stall at the first priority conflict. Ownership predicts follow-through better than talent.

04

Processes

2 of 11 questions

Whether the work AI should take over is documented, standardized and measured.

Why it matters. AI applied to an undocumented process automates the chaos — the model learns your exceptions. It’s why the same tool works in one company and fails in the next.

05

Execution Track Record

3 of 11 questions — weighted heavier, deliberately

What happened to the last tools you rolled out — baselines, measurement, explicit scale-or-kill decisions.

Why it matters. The best predictor of the next rollout is the previous three. AI doesn’t fix execution habits — it inherits them.

One honest limitation: eleven questions show direction, not diagnosis. A self-assessment can’t see inside your data or your processes — that’s what a structured assessment is for. Your answers are used to generate your results — nothing else.

Built for leadership teams

“What's our AI plan?”

You're asked at every board meeting — and want an answer that survives follow-up questions.

Budget, but no AI team

You can afford to move. What's missing is knowing what to do first — and what to skip.

Pilots that didn't stick

Something was tried. Nobody can say what it changed. This time you want it measured.

Ready for the next step?

Your AI Readiness Score provides a high-level snapshot. The AI Adoption Assessment goes deeper — identifying where AI will create measurable value, what’s preventing adoption today, and the executive decisions needed to move forward with confidence.

About the assessment →