Setting up an AI centre of excellence

Build an AI centre of excellence around a practical method, accountable workflow owners and learning your teams can reuse. See the Learn cohort scope.

An AI centre of excellence works when it teaches a working method on real workflows and leaves owners accountable for the results, rather than becoming a gatekeeping team. Tenhaw’s Learn programme has a Centre of Excellence cohort variant at £30,000–£40,000 fixed, built on the six-week team working-method programme.

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Whole programmes
Read time
2 minutes
Questions answered
5 in full
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Evidence basisOur approach
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Learn: Centre of Excellence cohort. £30,000–£40,000 fixed for the agreed scope.
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Evidence basis

The basis for this approach

This is our approach to a Centre of Excellence cohort, using the published Learn offer. It is not evidence that Tenhaw has built an organisation-wide CoE or a promise about its size.

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The demand signal

Learn’s team programme works on a real workflow through two workshop days and four weeks of weekly pairing. The Centre of Excellence variant is for the people helping other teams adopt that working method.

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Why it stalls

2 failure modes we keep meeting

The central team becomes the route for every decision

A CoE needs to develop capability in the teams doing the work. Keep workflow outcomes and decisions owned there, with the central group helping them practise and review the method.

Training stops at the demonstration

People need a real task, examples, review and time to practise. Reusable materials should come from that work so the next team can apply the method.

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

    Agree what the cohort helps others do

    Choose a real workflow and the participants who will support other teams. Clarify the practical outputs and where decisions remain with the workflow owner.

  2. 02

    Practise the method together

    Use the Learn pattern of workshop work followed by weekly pairing. The engineering variant leaves an issue-to-merge pipeline and review gates in the repository.

  3. 03

    Measure what the next team can use

    Look at the workflow materials, review habits and evidence that people can repeat the method. The Centre of Excellence cohort is £30,000–£40,000 fixed for the agreed scope; further build work is separately agreed.

Choose a real workflow and the participants who will support other teams.
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Sources

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Tenhaw, LearnTenhaw, working with an internal AI taskforce
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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.

Learn: Centre of Excellence cohort · £30,000–£40,000 fixed for the agreed scope · excluding VAT

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Questions this guide answers

What should a CoE own?

The working method, reusable examples and support that help other teams practise it. Keep the business result and decision ownership with the people responsible for the workflow.

How big should it be?

Size the cohort around the people and workflows it will support. Tenhaw’s published team programme is for up to 12 participants; the Centre of Excellence variant’s cohort, scope and outputs are agreed before starting. There is no universal CoE headcount in the offer.

CoE or internal taskforce?

An internal taskforce can fit when you already have the people and authority to organise the work. The useful test is whether teams can choose, build, review and run workflows with clear accountability; the comparison page sets out the buying choice.

How do we measure it?

Check whether the method is used on real workflows, whether teams can repeat it, and whether owners can measure the outcomes. Attendance and a slide library alone do not establish that capability.

What does the Tenhaw cohort cost?

The Centre of Excellence cohort variant is £30,000–£40,000 fixed for the agreed scope. It builds on the six-week team working-method programme. Fees exclude VAT, pre-agreed expenses and model or platform use.