AI MANAGEMENT SYSTEM (AIMS)
Aligned with ISO/IEC 42001 and the EU AI Act
AI GOVERNANCE,
TURNED INTO A SYSTEM.
Ready-to-use templates, practical examples and implementation guidance to help organizations put AI governance into practice and build audit-ready evidence.
Practical
Templates
Real-world
Examples
Auditor-ready
Guidance
Aligned with
ISO 42001 & EU AI Act
AI is moving faster than governance.
AI adoption is accelerating across organizations. But traditional governance processes weren’t designed for systems that can change through data, models, use cases and deployment.
Organizations need more than policies sitting in a document. They need practical governance systems that operate throughout the AI lifecycle.
GOVERNANCE
RISK
ASSURANCE
Define how AI is developed, deployed and overseen.
Clear roles, responsibilities, policies and controls that make governance operational.
Identify and manage AI risks throughout the lifecycle.
From initial assessment to deployment and ongoing monitoring, risk management needs to evolve with the system.
Make governance demonstrable, not just documented.
Maintain the evidence, oversight and accountability needed to build trust and support audits.
SOLUTIONS
AI Governance & Management Systems
Build structured governance systems that establish clear accountability, policies, processes and controls.
AI Risk Management
Identify, assess, treat and monitor risks across the AI lifecycle.
Regulatory & Standards Readiness
Turn evolving AI regulations and standards into practical organizational requirements and actions.
Continuous AI Governance
Keep governance active as AI systems, risks, data, models and regulatory expectations evolve.
PUT AI GOVERNANCE INTO PRACTICE
Practical tools, ready-to-use documentation and expert support to help you build and maintain an AI governance system.
