Regulation Control Plane
Enable AI. Stay in control.
Structural control over AI-driven decision-making in regulated financial environments. Control by design. Evidence as an integral part of execution.
For CROs, Heads of Risk, Compliance Leaders, Audit Partners and supervisory stakeholders.
Financial supervision now assesses structural control.
AI systems influence credit decisions, underwriting, AML/transaction monitoring, risk modelling and audit analytics. Supervisory authorities such as DNB — and comparable national regulators across the EU — expect clear ownership, transparent dependencies, risk-based classification, enforceable controls and reproducible evidence.
Why traditional compliance frameworks fall short
Static policy frameworks, manually maintained registers, periodic audits and evidence assembled on request cannot keep pace with AI systems that evolve continuously, operate across jurisdictions and generate autonomous decisions.
What is a Regulation Control Plane?
A non-intrusive enforcement layer that registers regulated systems, classifies compliance context, applies controls and records audit-grade evidence by execution. It governs regulated systems without running or replacing them.
Four structural layers: Register — Classify — Control — Record
ActReady registers every AI system and use case, classifies obligations under AI Act, DORA and Wwft, enforces governance controls as policy-as-code, and records audit-grade evidence continuously.