AI maturity assessment: what to measure and what to do next

Assess AI maturity through worthwhile workflows, data, decision ownership and team capability. Compare the free first read with the £44,000 audit.

A useful AI maturity assessment tests real workflows rather than scoring a questionnaire. It covers which work is worth doing, what data and access it needs, who owns the decisions and whether your team can run it. Tenhaw’s free readiness assessment gives a first read, and the four-week £44,000 audit tests two or three workflows as working prototypes.

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Theme
Whole programmes
Read time
2 minutes
Questions answered
5 in full
Updated
Evidence basisOur approach
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AI Readiness Audit. 4 weeks, Fixed price · £44,000.
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Evidence basis

The basis for this approach

This is our assessment approach and the scope of Tenhaw’s existing readiness tools and audit. It is not a proprietary maturity certification or a separate paid offer.

On this page

The demand signal

Tenhaw’s audit combines prototype tests with a constraint register, decision inventory, adoption assessment and investment case. Those outputs let a board fund a next step based on evidence rather than a score alone.

Bring the reason this is on your agenda to a 30-minute call with James, and we can explore what it would take in your organisation.

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Why it stalls

2 failure modes we keep meeting

The score does not identify a next action

A questionnaire can organise a first conversation, but a score cannot show whether a chosen workflow works with your data and permissions. Translate the findings into a testable decision.

The people and ownership are assessed last

A technically workable prototype still needs a person to own the decision and a team able to use and extend it. Include those responsibilities in the assessment.

If one of these sounds familiar, bring it to a 30-minute call with James and we can explore a way past it.

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How we approach it

3 moves, in order

  1. 01

    Start with the free readiness assessment

    Use the tool to articulate the workflow, constraints and uncertainty. Its result helps choose a next step; it is not the audit’s evidence from prototypes.

  2. 02

    Test two or three candidates

    The audit runs for four weeks at £44,000 fixed. It tests promising workflows on real data in your tenancy with your engineers and assesses value, accuracy, confidence and estimated run cost.

  3. 03

    Turn the findings into an investment sequence

    Take the prototypes, constraint register and investment case to the board. The costed plan uses three-month increments capped at 12 months, with choices to stop or defer as well as to build.

Take the prototypes, constraint register and investment case to the board.
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A 30-minute call with James Rooney to discuss your workflow, people and budget. Leave with a rough scope and a useful next step.

AI Readiness Audit · £44,000 fixed · 4 weeks · excluding VAT

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Questions this guide answers

Maturity model or workflow test?

Use a model or questionnaire to organise the questions, then test the workflow that matters. A useful assessment should explain what to fund, what to change and what evidence supports the recommendation.

What do we measure?

Expected value and feasibility, data and access constraints, decision ownership, prototype accuracy and confidence, estimated run cost, and the people and support needed to use the workflow.

How long does it take?

The free readiness assessment is a first read. Tenhaw’s paid audit is four weeks and tests two or three workflows. A separate proof of concept for one chosen workflow runs two to four weeks.

What comes next?

Use the findings to proceed, change the scope, defer or stop. A chosen workflow may need a focused proof of concept or a separately agreed 90-day production programme.

Is an AI maturity assessment a separate Tenhaw product?

No. The free readiness assessment and the £44,000 AI Readiness Audit are the published ways to begin. The audit leaves working prototypes, a board readout and a costed plan.