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scorecard · v0.1 · MIT

AI Readiness Scorecard

A five-axis AI readiness scorecard you score yourself in an afternoon: strategy, data, delivery, people, and governance.

Available as a page on this site. A repository copy is not published yet.

Published · Updated

Contents

What is inside

Usage

How to use it

Copy the table into a spreadsheet or your own wiki. Score each axis yourself, or better, ask three people to score it separately and compare notes. A gap between an engineer's score and a board member's score is often more telling than the total.

Detail

In my words

What this is

Five axes, scored from zero to three, that give you a rough position before you pay anyone to check it properly. The axes match the ones in the AI Readiness & Risk Assessment. This is the self-administered version, without the evidence behind it.

The five axes

Axis0 — not started1 — informal2 — documented3 — evidenced
StrategyNo one has named which processes to automate firstSomeone has an opinion, nothing written downA ranked shortlist existsThe shortlist is reviewed by whoever owns the budget
DataNo one knows what a vendor tool can seeA rough sense exists, not written downA data classification table existsThe table is checked before a new tool is approved
DeliveryEvery pilot has stalled before productionOne pilot is close to liveOne system is live, unmonitoredA system is live, monitored, with a rollback path
PeopleOnly the original builder understands any AI system in useOne other person has read the codeA second person has changed it and shippedOwnership is written down and handed over on a schedule
GovernanceNo AI register existsA register exists, out of dateA register exists, reviewed occasionallyThe register is reviewed on a fixed schedule

Scoring it

Score each axis from zero to three using the table above, then add the five scores for a total out of fifteen. A low total early on is common. It usually means nobody has written anything down yet, not that the engineering is behind.

The five axes are not a substitute for the NIST AI Risk Management Framework (AI RMF) or ISO/IEC 42001. They are a rougher pass at the same territory, built to take an afternoon rather than an audit.

What it is not

It is not the Assessment, and it carries no evidence a reviewer would accept. A self-given three is a claim until someone outside your team checks what you have actually written down.

Provenance

Sources and neighbours

Next step

Filling these in is the hard part.

If you want them filled in against the systems you already run, that is the two-week Assessment.

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