Audit prep shouldn't mean reconciling risk and compliance in two different systems

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AI governance solution

Build and manage an AI governance program

Manage AI risks, regulatory requirements, policies, controls, evidence and accountable actions in one connected governance environment.

  1. Requirements
  2. Controls
  3. Evidence
  4. Risks & Gaps
  5. Actions
  6. Reporting

From obligation to operation

Make AI Governance part of how the business works

Bring AI standards, regulations, risks and governance activities together in one operating model. Keep each AI system connected to the requirements, policies, controls, evidence, risks and decisions that govern its use.

  • Maintain a structured view of AI systems and obligations
  • Connect AI risks to policies, controls, and owners
  • Map shared controls and evidence across ISO 42001, the EU AI Act and other frameworks
  • Track evidence, gaps, decisions, and remediation

Shared control

Third-party risk assessment

AI Governance

Requirement mapping

ISO 42001

Requirement mapping

EU AI Act

Requirement mapping

CoveredPartialGap

Program structure

Keep the important work visible

  • AI inventory

    Know which AI systems are in use, who owns them and how they are governed.

  • AI risk management

    Identify, assess, monitor and treat risks associated with AI systems and use cases.

  • Policies & controls

    Translate governance expectations into accountable policies, controls and actions.

  • Regulatory mapping

    Map common controls and evidence across overlapping standards, frameworks and regulations.

Inside Essential Compliance

One workflow, from requirements to evidence

01

Identify, structure and assign requirements

One of the first challenges in AI governance is determining which requirements apply and translating them into something the organization can manage. Use AI-assisted obligation suggestions to identify potentially relevant requirements and accelerate the creation of a structured obligation register. Once reviewed and validated, requirements can be assigned to owners and connected to the policies, controls, evidence, risks and actions used to manage them.

02

Identify and connect AI risks

Identify, assess and monitor the risks associated with AI systems, use cases and business processes. Connect risks to the regulatory requirements, policies and controls intended to manage them, so teams can understand not only whether requirements are being met, but what exposure those requirements are designed to address. Track treatments, indicators and changes in risk over time through Essential ERM.

03

Connect controls to the program

Connect controls to the requirements, policies and risks they are intended to address. See where the same control supports multiple standards or regulations, assign ownership, track effectiveness and link related actions and evidence. This creates a common control environment rather than separate control sets for every AI governance framework.

04

Manage evidence continuously

Schedule recurring evidence activities, assign them to responsible owners and monitor whether evidence is current, complete and still supports the control it is meant to demonstrate. Maintain a clear audit trail over time so gaps, missed reviews and remediation needs are easier to identify and follow up.

AI governance resources

Put multiple AI frameworks into one operating model

Explore practical guidance for connecting ISO 42001, the EU AI Act, NIST AI RMF and other AI governance frameworks without duplicating controls and evidence.

Explore AI governance articles

AI Governance

See how Tracker can support your AI Governance program
Bring your requirements, controls, evidence, gaps, and actions into one connected compliance workspace.

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AI Governance Solution | Essential Compliance