mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
1.4 KiB
1.4 KiB
Governance & Approval Policy Models
Every action by any Agent must be assigned to an Approval Class, a Reversibility Class, and a Sensitivity Class.
1. Approval Classes
- Class A (Auto Allowed): Repo inspection, summaries, drafts, testing, local DB reads.
- Class B (Approval Required): Changes to config, database migrations, marketing email blasts, pricing changes, public publishing. (Requires VP/Manager Gate).
- Class C (Board Level/Forbidden): Term sheets, M&A initiation, destructive changes. (Requires CEO/Board Gate).
2. Reversibility Classes
- R0: Fully auto-reversible (e.g. Git reset locally).
- R1: Reversible with limited intervention (e.g. drafting an email).
- R2: Costly/painful to reverse (e.g. generating an expensive comprehensive report).
- R3: Irreversible / External Commitment (e.g. signing a digital contract, creating an external Dealroom).
3. Sensitivity Classes
- S0: Public data.
- S1: Internal operational data.
- S2: Confidential (Pricing margins, employee data). Must use local/private AI.
- S3: Highly Sensitive (M&A targeting, legal disputes, board packets). Strictly guarded.
4. Policy Engine Execution Constraint
No Agent may commit an action of R2/R3 or dealing with S2/S3 without an Evidence Pack accompanying a Decision Memo that has explicitly secured authorization via the Execution Plane.