AI governance and regulatory readiness
Give AI decisions a clear owner and a usable evidence trail.
Policies need an operating path: registered systems, review triggers, accountable decisions and exceptions that can be revisited. Connect governance requirements to the way agent workflows actually change.
Give AI decisions a clear owner and a usable evidence trail
- System inventory
- Connects each use, purpose and owner to its operating context.
- Decision right
- Names who proposes, reviews, approves and accepts risk.
- Evidence requirement
- Defines what the owner needs before deciding.
- Exception lifecycle
- Records conditions, expiry, escalation and reconsideration.
Discipline model
Governance must follow changes in the system
The relationships that define the discipline
- System inventory
- The inventory gives reviewers the system and context behind a proposed change.
- Decision right
- Roles separate proposing work, reviewing evidence and accepting risk.
- Evidence requirement
- Each decision needs an explicit evidence threshold appropriate to its context.
- Exception lifecycle
- An exception returns to review when its condition or expiry is reached.
Governance becomes usable when teams know which event triggers which decision. A new tool, authority expansion, data use or vendor change may alter the questions that reviewers must examine. Organize the inventory and control records around those changes so that governance follows the system rather than becoming a detached annual document.
Working artefact
Record conditions that make an exception reviewable
Illustrative working record
Illustrative working format
- System inventory
- Define the subject and the requirement the record addresses.
- Evidence reference
- Link source, version and observed condition without copying sensitive material.
- Evidence requirement
- Explain the finding or choice and its consequence.
- Exception lifecycle
- Assign the next action and state what remains unresolved.
A governance decision record links the system version and proposed change to the applicable requirement, evidence, accountable reviewer and outcome. If an exception is accepted by the authorised organisation, record the rationale, conditions and next trigger. Board reporting should expose unresolved decisions and material limitations rather than conceal them behind activity counts.
Working approach
Give every review trigger a decision route
Proposed investigation sequence
- Define system inventory
State the decision and conditions the work must address.
- Map decision right
Connect the relevant actors, configuration and evidence.
- Examine evidence requirement
Use agreed evidence and controlled cases where appropriate.
- Review exception lifecycle
Record limits, ownership and the condition for a next decision.
Map the current decision process, roles and evidence sources. Define intake, classification, change and exception workflows, then connect them to delivery and operating reviews. Standards and regulatory readiness work should map the organisation’s applicable requirements to evidence under qualified review. A control mapping indicates coverage to investigate; it does not itself establish compliance.
Illustrative situation
Expanded authority should trigger a new decision
A constructed situation to reason through
Illustrative scenario
- Scope changes
An assistant gains permission to update customer records.
- Review triggered
The owner requests authority, evaluation and operating evidence.
- Accountable decision
The authorised role decides whether to proceed, restrict or defer.
Use this situation to identify the evidence that would change the decision. The proposed examination must stay within the agreed scope, and any conclusion must describe the conditions actually inspected.
Scope and next decision
Readiness evidence needs qualified interpretation
Prepare a bounded next discussion
- System inventory
- Bring one concrete workflow question and its accountable owner.
- Decision right
- Identify the evidence and access that can be made available.
- Evidence requirement
- Agree the specialist involvement and responsibilities required.
- Written scope
- Confirm activities, evidence, readiness and acceptance before commitment.
Regulatory applicability and legal interpretation require qualified advice. Readiness support does not constitute legal advice, accredited audit, certification or a compliance guarantee. The organisation retains approval and risk acceptance authority.
Explore the discipline
Specialist areas within this capability
Choose a question to explore its methods, boundaries and indicative outputs.
- AI governance maturity assessment
- AI system inventory creation
- Agent risk classification
- AI policy development
- Agent autonomy policy
- Acceptable-use policy
- Human-oversight framework
- AI control-library development
- Governance workflow implementation
- Evidence-register design
- Model and agent change management
- Third-party AI risk management
- AI procurement controls
- Exception-management workflow
- Algorithmic impact assessment
- Regulatory applicability assessment
- EU AI Act readiness
- ISO/IEC 42001 readiness
- NIST AI RMF implementation
- AI audit preparation
- Continuous compliance monitoring
- Board-level AI risk reporting
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