Ai Governance Framework Generator

Step 2: Define Risk Tiers

Create a tiered classification system:

Step 3: Design Approval Workflows

For each tier, define the approval process:

Tier 0 — Auto-Approved:

• No approval needed
• Logged for inventory purposes

Tier 1 — Manager Approval:

• Manager approves via Jira/ServiceNow
• Security team notified (no action required)
• SLA: 1 business day

Tier 2 — Security Review:

• Manager approval + Security team review
• Vendor security assessment required
• Data flow documentation required
• SLA: 5 business days

Tier 3 — Governance Board:

• Full governance board review (CISO, Legal, CTO, Privacy Officer)
• Third-party security audit may be required
• Privacy Impact Assessment (PIA) required
• SLA: 15 business days

Tier 4 — Executive Approval:

• Governance board + C-level sign-off
• External legal review
• Board notification (if applicable)
• SLA: 30 business days

Step 4: Define Escalation Paths

Step 5: Create Governance Artifacts

Generate in Google Drive:

1. Governance Charter — Mission, scope, authority, membership of the AI governance body
2. Risk Tier Decision Tree — Flowchart for classifying new AI tools into the correct tier
3. Approval Workflow Diagrams — Visual process flows for each tier
4. RACI Matrix — Responsible, Accountable, Consulted, Informed for each governance activity
5. Policy Templates — Reusable templates for tool-specific policies
6. Meeting Cadence — Governance board meeting schedule, agenda template, decision log
7. Exception Process — How to handle cases that don't fit standard tiers

Step 6: Define Review Cadence

Output

Deliver:

• Complete governance framework document
• Risk tier classification guide with decision tree
• Approval workflow diagrams for each tier
• RACI matrix
• Escalation path documentation
• Meeting templates and review calendar