Playbook
The AI Governance Playbook
Put guardrails, monitoring and accountability around AI — ISO/IEC 42001-aligned — so you scale with confidence, not exposure.
01
The problem
AI is spreading through the business faster than the controls around it. Without governance, every new use case is unmanaged risk — to compliance, reputation and trust — and the board has no way to sign off with confidence.
“We can’t say which models are in use, on what data, or who owns them.” — the governance blind spot at scale.
02
Current state → Future state
Where most are today
Shadow AI use with no inventory or owner
No monitoring, guardrails or audit trail
Unclear data lineage and consent
No framework to approve or retire models
Where this playbook takes you
A governed inventory with clear ownership per use case
ISO 42001-aligned controls, monitoring and audit logs
Documented data lineage and consent
A lifecycle to approve, monitor and retire models
03
The roadmap
1
Inventory & assessWeeks 1–4
Catalogue every AI use case, its data and its risk.
2
Stand up the frameworkWeeks 3–9
Define policies, roles, guardrails and the approval lifecycle.
3
Instrument & monitorWeeks 7–14
Add monitoring, audit logging and drift detection across models.
4
Operate & assureOngoing
Run the governance cadence and keep the board assured.
04
Risks & mitigations
Governance as a blocker
Lightweight, risk-tiered controls that speed safe use rather than stalling it.
Shadow AI
A simple intake and inventory makes the governed path the easy path.
Compliance exposure
ISO 42001 and DPDP-aligned controls with full audit logging.
Model drift
Continuous monitoring and a defined retire/retrain lifecycle.
05
Success metrics
100%
use cases governed
ISO 42001
aligned controls
0
ungoverned models
100%
decisions audit-logged
06
Pair it with the right tools
Run this playbook with us.
We don’t hand over a deck — we operate the plan with your team, tied to the outcomes above.