PALO Governance
ChatGPT pluginAI governance with evidence
Turn an AI use case into a reviewable governance dossier using PALO reference materials. Work through six lifecycle phases, design bounded agent actions and effect-verification plans, review evidence, assess evidence-backed maturity, define KPI/KRI and AI cost registers, and document data fitness and disclosure constraints. Includes versioned PALO registries, JSON schemas and synthetic examples. Outputs are drafts for accountable review. This plugin does not execute agent actions, enforce permissions, certify compliance or establish production readiness. It includes packaged resources and an anonymous connection to the separate public, read-only PALO Knowledge Reader, containing only released canonical PALO references. Reader calls send their arguments to the PALO service. Use minimized questions without credentials or raw sensitive case material. Availability of a connection does not establish operational authority. ChatGPT or Codex processes your input under the applicable host settings and policies.
PALO Governance is #12,330 of 13,927 ChatGPT plugins by placement.
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Rank by placement
Rank in Business & operations
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Business & operations2,104th of 2,396 by placement
| # | Plugin | Position | 7d |
|---|---|---|---|
| 2102 | #12295 | — | |
| 2103 | #12300 | — | |
| 2104 | #12330 | — | |
| 2105 | #12333 | — | |
| 2106 | #12339 | — |
Example prompts
- “Build a PALO governance dossier for my AI use case.”
- “Design the authority boundaries and effect checks for an AI agent.”
- “Review this AI evidence pack and identify what remains unverified.”
Skills
palo-agentic-action-design
Use when designing a future agent action: mandates, delegation limits, Action Claims, Effect Contracts, approval requirements or recovery plans. For an actual timeout, incident or disputed past result, start with PALO Evidence Review.
palo-data-governance
Use when designing data provenance, purpose and fitness checks, AI-system data lineage, or bounded data disclosures for a PALO governance case.
palo-evidence-review
Use when reviewing supplied evidence or an actual incident, timeout, execution receipt or disputed past agent result. Identify gaps between permission, execution and observed outcome. For designing a future action, start with PALO Agentic Action Design.
palo-kpi-kri-finops
Use when defining PALO KPI/KRI indicators or an AI workload cost and evidence register, including budget reservations, uncertain billing and reconciliation.
palo-lifecycle-assessment
Use when a user wants to turn an AI use case into a PALO lifecycle governance dossier, identify applicable controls, or prepare an accountable review.
palo-maturity-assessment
Use when assessing AI deployment capability and governance maturity using the PALO two-lens rubric for a defined organization or system and observation period. For a single future action use PALO Agentic Action Design; for an actual incident or disputed result use PALO Evidence Review.
- Categories
- Made by
- Fabrizio Degni · Website
- Sign-in
- On Install
- Capabilities
- Read
- Availability
- Available
- Version
- 0.3.1
- Keywords
- AI governance, PALO, evidence, agentic AI, risk assessment
- Created
- October 29, 2026
- More info
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