AI governance is the set of policies, controls, and accountability structures an organization puts in place to ensure its AI systems are used safely, transparently, and in line with regulation. It covers how AI decisions are made, documented, and overseen, and who is responsible when an AI system acts.
It is a fast-emerging compliance concern, pushed by regulation like the EU AI Act, which sets obligations around transparency, human oversight, and traceability, especially for systems in sensitive areas. For finance teams adopting AI, governance is no longer optional: they must explain what an AI did, show it was supervised, and prove the result.
Three requirements sit at the center: explainability (you can see why the AI reached a conclusion), traceability (every action leaves a record), and human oversight (a person stays in control of consequential decisions).
Phacet is built around exactly these principles. Every agent exposes its reasoning rather than acting as a black box, and every action is logged: the agent that prepares your audit file automatically makes the evidence inspectable, the agent that controls supplier billing shows why each line was flagged, and the agent that detects fake IBAN fraud surfaces the signal for a human to confirm. The native audit trail documents what was checked, why, and on what data.
AI governance demands explainable, traceable, supervised AI. Phacet's design answers that demand by default, so adopting it strengthens governance rather than straining it.
