01 / OWNERSHIP

Accountability & ownership.

Make responsibility visible — from the executive sponsor to the people who operate, review and challenge AI decisions.

Explore the process
HOW IT WORKS

Who owns the decision?

A practical ownership model separates business accountability, delivery responsibility and independent challenge. Each role needs a defined decision and a route for escalation.

STAGE01
CONTROL FOCUS

Sponsor

Sets purpose and risk appetite

EVIDENCE TO CAPTURE

Approved business case, funding and accountable owner

Select any stage to see its control focus and expected evidence.

QUESTIONS TO ANSWER

Make it operational.

Use these questions to turn governance principles into decisions that your organisation can evidence.

  • Who can approve this AI use case and accept residual risk?
  • Who can stop or roll back a deployment?
  • Who reviews exceptions independently of the delivery team?
TANGIBLE OUTPUTS

What good looks like.

RACI / decision-rights matrix

Named accountable, responsible, consulted and informed parties for each decision

Approval & escalation path

Who signs off, who challenges and when issues must be escalated

Ownership review cadence

Review triggers when systems, vendors or business uses change

MEASUREMENT

Signals worth tracking

Illustrative measures to adapt to your organisation's risk profile and delivery model.

Decisions with named ownersOverdue approvalsUnresolved exceptions
PUT THIS INTO PRACTICE

Turn the framework into action.

Explore the related resource, or discuss how to apply this capability in your organisation.