In late 2025, US executive actions and accompanying agency guidance have raised expectations for enterprises to demonstrate auditable AI risk management, model inventories, incident handling, and human‑in‑the‑loop controls. This topic covers the category of AI governance and regulatory‑compliance platforms that help organizations translate policy requirements into operational controls and evidence for regulators. Platforms in this space combine agent orchestration, provenance and lineage tracking, continuous monitoring, access controls, and automated reporting. Examples include IBM watsonx Assistant, which lets teams build enterprise virtual agents and multi‑agent orchestrations with developer and no‑code workflows that can embed governance controls; Microsoft 365 Copilot, which surfaces AI assistance across productivity apps and must be managed for data governance and audit trails; and Harvey, a domain‑specific platform for law and professional services that bundles assistants, knowledge management, and workflow features relevant to legal compliance and document provenance. No‑code agent builders such as Cimba.AI and Duckie lower the barrier to deploy domain agents but increase the need for built‑in auditing, versioning and approval workflows. Observe.AI addresses contact‑center compliance with real‑time assist, QA automation and conversation intelligence for monitoring regulatory exposures. Sector tools like Kay AI automate insurance operations and require traceable decision logs for underwriting and regulatory review. Gizzmo.ai (site unreachable at time of review) illustrates the importance of vendor validation and supply‑chain due diligence. The current trend is toward integrated toolchains that provide model inventories, explainability outputs, continuous performance and fairness monitoring, and automated evidence collection to support regulatory reviews. Organizations should combine platform capabilities with governance processes — policies, role definitions, and audit playbooks — to manage regulatory risk effectively.