Most AI readiness assessments grade your data and infrastructure. This one assesses the thing that actually decides whether AI pays off: your leadership. Take the four-minute AI Leadership Readiness Assessment below to find your readiness level across Placement, Restraint, Ownership, and Momentum, and the one move that closes your biggest gap.
Are You Ready to Lead AI?
The AI Leadership Readiness Assessment. An MIT study found 95% of AI initiatives fail to turn a profit, and the gap is never the technology. It is leadership. In 4 minutes, find out where you actually stand, and the one trap costing you the most.
- Your AI Leadership Readiness level, from Delegator to Multiplier
- Your score across the four things that decide whether AI pays off
- Your single biggest gap, and the move that closes it
What this AI readiness assessment measures
Most AI readiness work starts in the wrong place. Companies audit their data pipelines, count their licenses, and score their security posture, then wonder why the pilots still stall. An MIT study found that 95 percent of AI initiatives fail to turn a profit, and the gap is almost never the technology. It is the leadership around it. This AI readiness assessment measures that layer: the judgment of the person deciding where AI goes, what it is allowed to touch, and who owns the result.
I built it on the framework from my book AI Leadership Mastermind, drawing on my years as a Canon AI executive and on building and selling an AI company before ChatGPT existed. Twelve questions, about four minutes, scored across the four dimensions that decide whether AI pays off for a leader.
The four dimensions
Placement is where you point AI first. Leaders who score high here put AI against a real business constraint, the bottleneck that actually limits growth. Leaders who score low scatter tools across the organization and hope something sticks.
Restraint is what you refuse to automate. High scorers know which decisions must keep a human owner and can say no to impressive demos that add activity without adding advantage. Low scorers automate whatever is easiest to automate, which is rarely what matters.
Ownership is who holds the AI decision. If the honest answer is IT or a task force, the strategy has already been delegated away, and delegation at that level is abdication. High scorers keep the judgment while delegating the plumbing.
Momentum is whether your AI effort compounds. High scorers run a weekly practice that stacks small wins into a durable edge. Low scorers restart every quarter with a new tool and a clean slate, which feels like progress and compounds into nothing.
Who it is for
It is built for founders, CEOs, and senior executives who are accountable for AI producing a return, not just activity. Technical leaders take it too, usually to test the half of readiness their infrastructure dashboards cannot see. If you want a score for your data platform, this is the wrong tool. If you want a score for the leadership sitting on top of it, this is the right one.
What you get
You get your readiness level, from Delegator to Multiplier, your score on each of the four dimensions, and your single biggest gap with the one specific move that closes it. Your full scorecard arrives by email, so you have it on record rather than in a browser tab you will never find again.
How it differs from a data or infrastructure readiness audit
A technical AI readiness audit inventories systems: data quality, integration, security, tooling. That work is necessary, and it is also downstream. A company with strong data and weak leadership still lands in the failed 95 percent, because nobody with authority placed the bet, held the guardrails, or kept the momentum. This AI readiness assessment measures the layer those audits skip. The sequence I recommend: score the leadership first, audit the infrastructure second, then turn both into a plan using the roadmap in preparing for AI adoption. The complete framework, including all four dimensions in depth, lives in the AI readiness guide for leaders.
The four readiness levels
Your combined score maps to one of four levels. The Delegator has handed the AI decision to IT and is hoping someone else’s competence substitutes for ownership. The Dabbler is busy, full of tools and pilots, but the activity does not compound. The Operator has placed AI well and is getting real wins, yet lacks the consistency or restraint to turn wins into a system. The Multiplier runs AI as a leadership discipline, and that is the small group actually banking the advantage. The point of the label is not flattery. It tells you which trap you are standing in and which move gets you out.
Frequently asked questions
Is this AI readiness assessment free?
Yes, completely free. Twelve questions, no payment step, and no sales call required to get your results. It is the same scoring framework I use in my book, offered free because the score starts a better conversation than any pitch.
How long does it take?
About four minutes. The twelve questions are multiple choice and designed to be answered honestly in one sitting. Overthinking them actually makes the score less accurate.
Do I need to share my email?
Yes. You enter your email at the end and your results arrive in your inbox: your readiness level, your four dimension scores, and the one move that closes your biggest gap. Sending the scorecard by email means you keep it on record and can retake the assessment later to measure progress.
Can my leadership team take it too?
Yes, and comparing scores is where it gets useful. When a CEO scores as an Operator and the COO scores as a Delegator, that mismatch explains most of the friction in their AI decisions. Have each executive take it separately, then compare levels and biggest gaps.
Who should take this AI readiness assessment?
Founders, CEOs, and executives who own an AI budget or an AI promise to their board. If AI failing quietly would land on your desk, the four dimensions here are the ones that decide whether it does.