Governance objective

AI systems should remain:

Controlled · Observable · Accountable · Secure

Governance pillars

01 — Ownership

Every production AI system should have:

• Business owner

• Technical owner

• Escalation contact

02 — Access

Define:

• Who can use the system

• What data it can access

• What actions it can perform

03 — Oversight

Establish:

• Review requirements

• Human escalation

• Approval boundaries

04 — Monitoring

Monitor:

• Usage

• Performance

• Failures

• Cost

• Unexpected behavior

05 — Change management

Changes should be evaluated before production deployment.

Governance lifecycle

Assess
 ↓
Approve
 ↓
Deploy
 ↓
Monitor
 ↓
Review
 ↓
Improve

Assess
 ↓
Approve
 ↓
Deploy
 ↓
Monitor
 ↓
Review
 ↓
Improve

Assess
 ↓
Approve
 ↓
Deploy
 ↓
Monitor
 ↓
Review
 ↓
Improve

Assess
 ↓
Approve
 ↓
Deploy
 ↓
Monitor
 ↓
Review
 ↓
Improve

Governance principle

Higher-impact actions require stronger controls.