runtime-admissibility-review
Runtime Admissibility Review
Purpose
This Skill helps legal, compliance, risk, product, operations, audit, and AI governance teams determine whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible at runtime before execution or before institutional reliance.
The purpose is not to decide whether an AI system was generally approved for deployment.
The purpose is narrower and more operational:
Determine whether this agent may take this specific action, or whether the institution may rely on this specific agentic output, under these current facts, with this authority, this delegated scope, this evidence, these constraints, this escalation posture, and this revocation status.
The Skill produces a structured Runtime Admissibility Determination that can be reviewed by legal, compliance, risk, audit, technical, and business stakeholders.
Core Principle
Static authorization is not enough for agentic AI.
An AI agent may have been approved for a workflow, and a delegated task may initially fit within the authority envelope, but a specific action or later institutional reliance can become inadmissible because conditions changed.