Strategy & Accountability

Who may decide what—and who remains answerable?

Align AI ambition with public value, organisational risk appetite and an operating model that gives leaders, clinicians, data owners and delivery teams explicit responsibilities.

Operating principles

What good
looks like.

Public value

AI investment begins with an outcome worth achieving.

Named ownership

Business and clinical accountability cannot be delegated to a vendor or model.

Clear authority

Approval, override, escalation and stop rights are explicit.

Integrated governance

Existing accountable forums are used wherever they are fit for purpose.

Put it into practice

Make it
operational.

Set ambition and boundaries

Define priority outcomes, prohibited uses and appetite for different categories of risk.

Map decision rights

Clarify executive, clinical, privacy, security, data and technology responsibilities.

Design governance forums

Set mandates, quorum, escalation routes and reporting cadence.

Fund ownership

Resource product stewardship, assurance, monitoring and change—not only implementation.

Minimum evidence set

Make the decision
reviewable.

01AI strategy and principles

02Accountability and decision-rights map

03Committee terms of reference

04Portfolio measures and investment roadmap

Move from knowledge to practice

Design governance teams can operate.

Connect accountability, evidence and oversight to the way AI is actually delivered and used.

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