AI Readiness Score: Free 10-Question Check

01 / 10Can your team get to the data this work depends on, and can you trust it?

We'd have to find it firstIt's spread across tools and often incompleteIt's in known systems and mostly cleanIt's in known systems, clean and exportable

02 / 10Does one named person own the process you'd automate?

No one in particularSeveral people share itOne owner, but the steps aren't written downOne owner, and the steps are documented

03 / 10Can software reach the systems involved?

No, it's paper or manual screensOnly through exports and file uploadsSome of the systems have APIsAll the key systems have APIs we can use

04 / 10How clear are your security and compliance rules for AI tools?

We don't know what applies yetWe know the rules, but there's no path for AI toolsWe know the rules and have a review process for new toolsWe know which data can go where, and who signs off

05 / 10Is there a budget owner for this work?

No budget identifiedBudget is possible, but no one owns itThere's an owner, but no budget set asideThere's an owner with budget set aside

06 / 10How are errors in this work caught today?

Usually when a customer or partner complainsSpot checks when someone has timeA regular review stepDefined checks, with a record of what failed

07 / 10Could your team spend time reviewing AI output while it's being tested?

No spare timeA few hours a monthA few hours a weekTime is already planned for it

08 / 10How much of this work is automated already?

None, it's all manualSpreadsheets and macrosSome workflows or scriptsAutomation runs in production and someone maintains it

09 / 10Do you know what one case costs today, in time or money?

No ideaA rough guessAn estimate from a sample of casesMeasured and tracked

10 / 10Is a senior leader sponsoring the work?

NoInterested, but not involvedSupportive and checks in now and thenActively sponsoring, with a clear goal

How the score works

Four areas, weighted equally.

→ each answer scores 0 to 3 points; a higher score means more of the groundwork is in place
→ area score = points ÷ maximum points × 100: Data (questions 1 and 9), Process (2, 6 and 8), Systems & security (3 and 4), People & ownership (5, 7 and 10)
→ overall score = the average of the four area scores, so each area counts the same
→ below 40 is low and 40 to 69 is medium: both suggest a Scoping Sprint; 70 or more is high and suggests a Pilot Build, unless any area is below 50
→ the two lowest areas each get one recommendation, based on the weakest answer in that area; nothing is compared with other companies

FAQ

Questions about AI readiness

What does the AI readiness score measure?

How much of the groundwork for a first AI project is in place: data you can reach and trust, a process with an owner, systems software can connect to, and people with the time and authority to see it through. It doesn't say whether a particular use case is worth building.

Is my score compared with other companies?

No. The score comes only from your 10 answers, using the rules described on this page. Your answers stay in your browser, so there is nothing to compare against.

What should we do with a low score?

Start with the two weakest areas. Most of the fixes are decisions and documentation, such as naming an owner or writing down the data rules, not software. A Scoping Sprint can map the gaps with you and pick the workflow to start with once they're closed.

What is the difference between a Scoping Sprint and a Pilot Build?

A Scoping Sprint reviews the workflow, systems and data, ranks the possible use cases and ends with a written build plan and running-cost model. A Pilot Build connects one chosen workflow to real systems and measures it against an evaluation set and success criteria agreed up front.

How ready is your company for AI?

Four areas, weighted equally.

Questions about AI readiness

Bring one workflow. We'll tell you if an agent should run it.