AI governance platform for regulated enterprises
Centralize AI inventory, ownership, risk controls, and approvals. Enforce policies and generate audit-ready evidence across the AI lifecycle.
Enterprise AI governance infrastructure
Complete visibility, control, and audit evidence—from catalog to production.
Centralized AI Catalog
Complete inventory of AI assets with versions, ownership, PHI tiers, and lifecycle state—across Epic, vendor solutions, and internal ML.
Structured Onboarding
Register, document, and certify AI before production deployment with automated workflows and classification.
Approval Workflows
Security, compliance, and model risk approvals with enforced separation of duties and audit trails.
Environment Controls
Sandbox and production gating with promotion rules, rollback capabilities, and state management.
Policy Enforcement
Block unapproved AI from production with automated controls and real-time governance.
Governed Explainability
Tiered access to model explanations (L1/L2/L3) with SHAP/LIME controlled by role and policy.
Immutable Audit Logs
Append-only audit trail for every action, decision, and state change—ready for regulators and auditors.
Beyond spreadsheets and SharePoint
Governance that's enforced, not documented.
Built for regulated industries
Healthcare, financial services, and enterprises with strict governance requirements.
Healthcare & Life Sciences
Govern AI in EHR systems, clinical decision support, and vendor solutions with PHI-aware controls and Epic integration.
Financial Services
Meet model risk management requirements with approval workflows, drift monitoring, and audit evidence for regulators.
Regulated Enterprises
Prove AI governance to auditors with centralized inventory, policy enforcement, and complete audit trails.
Frequently Asked Questions
What is an AI governance platform?
An AI governance platform provides centralized visibility, control, and audit evidence for all AI assets across your organization. It turns governance policies into enforceable controls through approval workflows, environment gating, and immutable audit trails.
How does Aureum Health enforce AI governance?
Aureum Health enforces governance through approval gates, environment controls, and operational state machines that block unapproved AI from production. Unlike policy documents, these controls are built into the deployment workflow.
What makes AI governance different from IT governance?
AI governance requires tracking model behavior, drift, explainability, and runtime changes—not just infrastructure. Aureum Health provides AI-specific controls like performance thresholds, explainability access, and behavioral monitoring.
How does Aureum Health integrate with existing systems?
Aureum Health sits above execution and data platforms as a governance control plane. It integrates with Epic, ServiceNow, Snowflake, ML platforms, and your existing workflows through APIs and connectors.