Diagnostic
AI Adoption Audit
A structured diagnostic that measures whether AI is genuinely changing work across your organisation, not just whether people are logging into AI tools.
Definition
An AI Adoption Audit is a structured assessment of adoption depth, workflow autonomy, output quality, risk exposure and business value across the workflows leadership cares about. It produces a board ready evidence base for AI transformation decisions.
What the audit measures
- Adoption depth across teams, roles and workflows.
- Workflow autonomy across the four maturity levels.
- Output quality and reliability at each level of autonomy.
- Human handoff, escalation and review patterns.
- Risk exposure, governance gaps and AI debt.
- Business value linked to workflow change, not usage counts.
Who it is for
- Chief AI Officers and heads of AI transformation.
- COOs, CIOs and operations leaders.
- Boards and executive teams needing operational proof of AI impact.
- Programme leaders running Copilot, ChatGPT or agentic AI rollouts.
Deliverables
- Autonomy Index score across the workflows in scope.
- Workflow heatmap showing where AI is genuinely embedded.
- Risk and quality review with named workflow level findings.
- Board ready AI impact report.
- Ninety day action roadmap prioritised by evidence.
How it helps leadership
The audit moves leadership conversations from anecdote to evidence. It shows which workflows AI has actually changed, where investment is creating measurable business value, where AI theatre is masking risk, and what to prioritise next.
Related reading
Ready to measure what AI actually changed?
Take the Autonomy Index™ Assessment and receive an executive report covering workflow ownership, capacity released, AI debt and prioritised recommendations.