Policies, controls, evidence, and reviews. What buyers and auditors expect, in plain English.

Clear definition, business stakes, and a lightweight model to govern AI use without slowing teams.

Ethics are principles such as fairness and transparency. Governance turns those ideas into policies, controls, tests, and audits. Ethics asks what is right. Governance makes the right behavior repeatable, testable, and provable.

AI governance is how you decide, document, and defend the way AI is designed, deployed, and monitored. Good governance reduces legal and brand risk, speeds enterprise deals, and keeps models aligned with your goals.