AI Service Maturity Scorecard

How mature are your AI services?

Eighteen questions across the six stages of the AI Service Lifecycle. It takes about five minutes. You get your maturity level and your three highest-priority gaps on screen, with no sign-up.

Read the lifecycle first

Self-scored: where you think you are. The assessment scores the same six stages against your live estate.

01

Plan

Deciding which AI services are worth running.

02

Prepare

Getting data, context and guardrails ready.

03

Introduce

Putting an agent into live service safely.

04

Operate

Running agents as part of daily operations.

05

Assure

Proving agents behave and stay within authority.

06

Evolve

Improving, retiring and expanding the portfolio.

Stage 1 of 6: Plan0 of 18 answered

01 Plan

Deciding which AI services are worth running.

Do you know how many AI agents or AI features are live across your organisation?
Does every AI use case have a named business owner, not just a technical one?
Before you build an agent, do you agree what success looks like in measurable terms?