AI Governance · SDLC Integration · DevSecOps + Scrum

AI Governance
SDLC Workflow

Governance isn't a checkpoint at the end of delivery — it runs in parallel with development. Every commit is scanned. Every artifact is versioned. Every gate is enforced by the CI/CD pipeline. Human reviewers approve exceptions, not routine tasks.

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End-to-End Governance Workflow
1
Ideation
Register system
Assign frameworks
2
Design
Risk assessment
Architecture review
3
Development
Model card · DPIA
Fairness audit
4
Deployment
Ethics charter · HITL
Policy · CI/CD gate
5
Operations
Monitor KPIs
Quarterly re-cert
5
Governance Gates
9
Required Artifacts
10
Frameworks Mapped
8
RACI Roles
1
Ideation
Register · Risk Profile
Framework Assignment
No artifacts
2
Design
Risk Assessment
Architecture Review
1 artifact
3
Development
Model Card · DPIA
Fairness Audit
3 artifacts
4
Deployment
Ethics Charter · HITL SOP
Policy · Reg Mapping
5 artifacts + scan
5
Operations
Monitoring KPIs
Continuous Re-audit
Ongoing
ArtifactOwnerGate UnlockedTypical SprintApproverPoints
Risk AssessmentSecurity EngineerGate 2Sprint 1Risk Manager, AIMS Owner3
Policy TemplateAI Governance LeadGate 4Sprint 1–2CAIO2
Ethics CharterAI Governance Lead (CAIO)Gate 4Sprint 1–2CAIO2
Model CardData ScientistGate 3Sprint 3–4Compliance Officer2
DPIAData Engineer + DPOGate 3Sprint 2–3DPO (legal requirement)5
Fairness AuditData ScientistGate 3Sprint 4–5Compliance Officer5
HITL SOPSecurity EngineerGate 4Sprint 3–4Security Officer, ML Ops3
Regulatory MappingCompliance OfficerGate 4Sprint 4–5Compliance Officer3
Monitoring KPIsML Ops / SREGate 5Sprint 5–6Compliance Officer3
Definition of Done: Generated via governance API · approver sign-off confirmed · artifact registered in compliance system · zero critical scan findings in related domain.