AI Compliance Operations

AI Compliance Operations is a practical prompt collection for governance, legal, privacy, security, procurement, risk, and product teams that need repeatable controls for AI systems. The five skills follow one complete operating workflow: intake and classify an AI use case, translate identified risks into controls and auditable evidence, review third-party AI vendors, monitor control failures and policy exceptions, and report portfolio risk to executives. Each prompt is designed to accept real organisational context through replaceable inputs, expose missing evidence instead of inventing facts, and return decision-ready artifacts with owners, deadlines, thresholds, and verification steps.

Use this collection when moving an AI feature from idea to pilot, preparing a vendor review, implementing model-risk controls, running continuous compliance, or briefing leadership. The prompts work with general-purpose AI assistants and can be adapted to internal policies, regulatory frameworks, and risk taxonomies. They intentionally separate legal requirements from recommended practices and distinguish verified evidence from vendor assertions.

The workflow is most useful for moderate- and high-impact deployments involving sensitive data, external users, autonomous actions, consequential decisions, or complex integrations. Outputs include risk scorecards, control matrices, evidence catalogues, RACI tables, exception registers, monitoring dashboards, executive summaries, and action trackers. Human review remains mandatory for legal conclusions and final approval. The collection helps teams replace ad hoc governance meetings with a traceable process that can be reviewed, tested, and improved over time.