AI Governance

ValidMind AI Governance

Scalable and automated oversight for responsible AI. Enterprise-grade governance for AI systems. Standardize policies, enforce approvals, and maintain audit ready oversight across the AI and model lifecycle.

The Challenge: Governing Models at Scale

Regulated institutions managing dozens or hundreds of models face a common set of structural failures that create regulatory exposure and operational drag.

Siloed Model Inventory

Model registers live in spreadsheets, SharePoint folders, and individual team wikis. When an auditor asks for a current inventory of all AI systems, risk tier, owner, and approval status, the answer takes weeks to assemble and is out of date by the time it arrives.

Regulatory Fragmentation

The regulatory landscape now requires simultaneous compliance across multiple jurisdictions, and no two frameworks use the same terminology, documentation structure, or evidence standard.

No Workflow Orchestration

Approval processes exist on paper. In practice, they're a series of emails, calendar invites, and informal sign-offs with no enforced sequence, no accountability trail, and no way to tell where a model is in the process.

A Single Source of Truth Across Your Entire Model and AI Portfolio

ValidMind's centralized model inventory is the foundation of enterprise AI governance. It's not a model list; it's a living, auditable record of every model and AI system your organization owns, with the full context regulators need.

The inventory captures and maintains:

Rich model metadata — owner, business unit, use case, risk tier, development date, and deployment status
Risk classification — configurable tiers with built-in EU AI Act risk classification
Full lifecycle tracking — development → validation → approved → deployed → monitoring → retired, with automated status transitions
Model interdependencies — mapping upstream data sources and downstream consumers across your portfolio
Custom schemas and artifacts — fully configurable to match your internal governance framework and terminology

For agentic AI systems, the inventory extends to capture agent architecture, tool access permissions, decision logic, and dependency chains — the metadata that conventional model inventories don't support.

The inventory is the governance backbone for all other platform capabilities: validation workflows, approval gates, monitoring alerts, and audit trails all connect back to a single, authoritative record.

View Product Brief

What's Inside the ValidMind AI Governance Platform

Inventory Management

ValidMind's model inventory is the operational backbone of AI governance. Every model, AI application, and autonomous agent is registered, classified, and tracked through its complete lifecycle, with the metadata regulators, auditors, and risk leaders need readily accessible.

Configurable Workflows

ValidMind's workflow engine converts your governance policies into enforced operational processes. Every stage in the model lifecycle, from submission to retirement, can be governed by a configurable workflow with defined roles, SLAs, notifications, and audit evidence.

Attestations

ValidMind's attestation module replaces email-based confirmation processes with a governed, auditable campaign structure. Responsible parties formally confirm the status, accuracy, and continued appropriateness of models they own, on a defined schedule, with snapshots and digital sign-off that hold up to regulatory scrutiny.

Reporting and Analytics

ValidMind's reporting layer gives risk leaders, governance teams, and auditors the visibility to make decisions, not just assemble evidence. Dashboards are configurable to the metrics that matter for your institution, and reports are designed to satisfy both internal stakeholders and external examiners.

Regulatory Alignment

ValidMind's regulatory alignment capabilities use AI to continuously evaluate whether your governance program meets applicable standards, identifying gaps before examiners do, and generating the evidence needed to demonstrate compliance.

Monitoring

ValidMind's monitoring capabilities track model performance, behavioral health, and compliance status over time, with configurable alerting and governance-grade evidence capture that satisfies both internal risk functions and regulatory expectations.

Multi-Jurisdictional Regulatory Coverage — Out of the Box

ValidMind ships with purpose-built templates and workflows for the regulations that matter to your institution:

SR 11-7 / OCC 2011-12 — core design principle; every feature maps to US bank MRM requirements
SR 26-2 — the updated supervisory guidance for US banks, with workflows and documentation templates aligned to new expectations
SS1/23 (UK PRA) — multi-jurisdictional from inception; UK banking MRM workflows available at launch
OSFI E-23 (Canada) — Canadian AI governance requirements, May 2027 effective date
EU AI Act — built-in risk classification engine, conformity assessment support, high-risk AI documentation
NAIC — insurance regulatory requirements supported

When requirements span jurisdictions, ValidMind governs all simultaneously through a single inventory and workflow engine.

View Datasheet

ValidMind AI Governance Demo

ValidMind AI Governance helps organizations adopt AI faster without sacrificing trust, compliance, or control.

As AI and GenAI systems scale across the enterprise, governance can’t be an afterthought. Teams need a way to operationalize responsible AI, reduce risk, and meet evolving regulatory expectations.

In this video, we demonstrate how ValidMind delivers scalable, automated oversight across the AI lifecycle. You’ll see how governance is embedded directly into workflows, documentation, monitoring, and inventory management so policies and best practices are built in, not bolted on. This demo covers: