Intelligence cycle

Governance as a continuous cycle, not a one-off exercise.

Enterprises change constantly. The intelligence cycle keeps understanding, assessment, decision and evidence in step with that change.

Eight stages

Select a stage to explore it.

Discover AI systems, data, applications, processes, technologies, risks and controls, and establish ownership for each.

Stage by stage

Discover what exists.

Discover AI systems, data, applications, processes, technologies, risks and controls, and establish ownership for each.

Create relationships.

Create relationships across the enterprise model so every item carries the context of what it depends on and what depends on it.

Evaluate implications.

Evaluate risk, compliance, resilience, data and financial implications using the connected model rather than isolated registers.

Evaluate options.

Evaluate options using structured decision modelling and economic analysis, with assumptions and trade-offs recorded.

Explore outcomes.

Explore potential outcomes before committing to change, including technical, operational and regulatory consequences.

Apply control.

Apply policies, controls, approvals, accountability and evidence so governance is enacted rather than described.

Track change.

Continuously track change across systems, data, risk and obligations so the model stays current.

Evidence the position.

Maintain traceable evidence for executives, auditors and regulators covering what was decided, by whom and on what basis.