Technical playbook
AI Governance Launch Kit
Policy templates, RACI charts, and monitoring dashboards to stand up an AI governance council.
Stack focus: Azure OpenAI, ServiceNow GRC, Datadog
Back to all guidesKey takeaways
- Translate policy pillars into enforceable controls.
- Define approval workflows and escalation paths.
- Track usage, exceptions, and model health from day one.
Readiness checkpoints
- Governance council charter drafted and approved.
- Tooling guardrails deployed for prompts, logging, and retention.
- Monitoring dashboards live with automated evidence collection.
Template walkthrough
Council charter and mandate
Define the mandate so business, legal, and security all agree on the scope of governance.
Set clear decision rights and escalation paths to prevent bottlenecks.
Include
- Vision, scope, and success metrics
- Decision rights and escalation model
- Quarterly governance cadence
Checklist
- Executive sponsor is named and committed.
- Charter approved by legal, risk, and IT.
Policy and control library
Translate policy pillars into enforceable controls and guardrails.
Use a single policy library that teams can reference before every pilot.
Include
- Data usage and retention policy
- Model approval and monitoring criteria
- Incident response and escalation playbook
Checklist
- Policies mapped to regulatory obligations.
- Controls are testable and measurable.
RACI and approval workflow
Document the approval journey so every pilot knows who signs off and when.
Embed approvals into existing GRC or ticketing systems to avoid shadow processes.
Include
- Roles: product, legal, risk, security, data
- Approval milestones and SLA targets
- Exception handling and waiver process
Checklist
- Workflow is documented in the system of record.
- SLA targets are aligned with business expectations.
Monitoring and evidence collection
Set up dashboards that monitor usage, exceptions, and model drift.
Automate evidence collection to simplify audits and board reporting.
Include
- Prompt/response logging and retention
- Model health and drift indicators
- Exception reports and remediation tracking
Checklist
- Monitoring alerts reach the responsible owner.
- Evidence exports satisfy audit requirements.
Start with a minimal dashboard and expand once teams build trust in the signals.
Launch kit checklist (copy/paste)
Use this list to confirm readiness before announcing governance go-live.
Include
- Charter approved and council calendar invites sent
- Policy library published with version control
- Approval workflow live in GRC or ticketing tool
- Monitoring dashboards reviewed with executives
- Quarterly reporting template distributed
Downloadable assets
- Governance charter template (Markdown)
Charter template for council mandate and decision rights.
- Control library checklist (CSV)
Track policy controls, owners, and evidence collection.
Industry-specific variants
Financial Services
Emphasize model risk management, audit trails, and regulator-ready reporting.
Stakeholders
- CRO
- Chief Compliance Officer
- Model Risk
KPIs
- Model approvals on time
- Audit findings closed
- Exception rate
Data sources
- GRC platform
- Model registry
- Prompt logs
Risk watchouts
- Regulatory scrutiny
- Third-party model dependencies
Adjustments
- Add quarterly regulator briefing pack.
- Define override controls for high-risk models.
Starter template
- Policy pillar: [model risk] | Control: [approval gating]
- Evidence: [audit log] | Owner: [model risk lead]
Healthcare
Prioritize PHI controls, clinical safety, and vendor oversight.
Stakeholders
- Chief Medical Officer
- Privacy Officer
- IT Security
KPIs
- PHI access exceptions
- Clinical review SLA
- Vendor audits
Data sources
- EHR access logs
- Security monitoring
- Vendor contracts
Risk watchouts
- PHI exposure
- Clinical decision liability
Adjustments
- Require clinical review board for AI changes.
- Add safety validation before production rollout.
Starter template
- Control: [PHI masking] | Evidence: [access audit]
- Review cadence: [monthly] | Owner: [privacy lead]
Public Sector
Ensure transparency, procurement compliance, and citizen impact reviews.
Stakeholders
- Agency CIO
- Procurement
- Legal
KPIs
- Policy compliance rate
- Procurement cycle time
- Public inquiries
Data sources
- Procurement systems
- Policy registry
- Service ticketing
Risk watchouts
- Public scrutiny
- Contractual constraints
Adjustments
- Publish public-facing AI usage summaries.
- Align controls with procurement milestones.
Starter template
- Policy: [transparency] | Disclosure: [public summary]
- Owner: [agency lead] | Evidence: [report link]
Keywords we optimise for
- AI governance
- responsible AI