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Commissioning, public health and leadership

Commissioners & Leaders

Introduce AI through a defined problem, proportionate governance, workforce capability, lived-experience involvement and evidence — not through product enthusiasm.

Open the governance toolkit

A realistic leadership position

Use AI deliberately, safely and critically.

AI can help services structure information, develop resources, compare public guidance and reduce some routine drafting. It should not replace safeguarding, clinical judgement, accountable commissioning or the human relationship at the centre of treatment.

Leaders need clear approved uses, usable alternatives to shadow AI, proportionate review and a route for staff to report uncertainty and errors without hiding them.

Commissioner checklist

10 questions to ask about AI

Ask for evidence and named ownership, not a polished demonstration alone.

  1. 01

    What problem is the AI intended to solve, and for whom?

  2. 02

    What evidence supports this use in the intended population and setting?

  3. 03

    What information does it process, where and for how long?

  4. 04

    Who remains accountable for the work and any decision?

  5. 05

    How is output checked, and what errors are most serious?

  6. 06

    How are bias, accessibility and health inequalities considered?

  7. 07

    How are service users informed and involved?

  8. 08

    What happens when the system is wrong or unavailable?

  9. 09

    How will impact, workload and unintended effects be evaluated?

  10. 10

    What happens if the supplier, model, price or terms change?

Practical leadership resources

From approval to review

People using services

Trust cannot be added at the end.

Involve people with lived experience in defining the problem, transparency, accessibility, pilot boundaries and evaluation. Consider dignity, consent where relevant, digital exclusion, stigma and whether a non-digital route remains genuinely available.

Read the lived-experience guide →