AI Governance Control Stack for Operational Stability
A working specification for translating AI regulatory intent into a layered stack of inventory, controls, evals, telemetry, evidence, and escalation.
Read on arXiv →Published research, live deployments, and applied assurance work — the artefacts behind the practice.
How do we know an AI system is still behaving safely after deployment? Active research on behavioural drift registers, explanation deltas, governance escalation, and audit-ready evidence trails.
Explore the research →A working specification for translating AI regulatory intent into a layered stack of inventory, controls, evals, telemetry, evidence, and escalation.
Read on arXiv →An applied AI governance platform deployed in the GPT Store and active within NSF TRAILS — used to evaluate explainability-driven governance systems.
Try the auditor →AI governance architecture accepted for evaluation of explainability-driven governance systems within a federal innovation pipeline.
A patented framework for mapping organisational capability against AI transformation requirements and governance maturity.
Featured article on interoperable governance across regulatory regimes and operational realities.
Read article →A curated portfolio of governance and safety assurance work, including frameworks, assessments, and applied deployments.
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