What It Is

AI Management Systems (AIMS / AIMF) are structured governance frameworks designed to operationalize AI oversight across your organization.

Built on global standards such as ISO/IEC 42001, they provide the foundation for managing risk, ensuring accountability, and supporting scalable AI operations.

AIMS / AIMF are designed to be practical, adaptable, and aligned with your organization’s current stage of maturity.

When to Use vs. ISO/IEC 42001

AIMS / AIMF are best suited for organizations that:

  • are in early to mid-stage AI adoption and need structured governance

  • require immediate oversight without pursuing certification

  • operate across multiple jurisdictions and need flexible alignment

  • want to build internal governance capabilities before formal audits

  • need governance systems tailored to specific AI use cases or business models

They also serve as a direct pathway to ISO/IEC 42001, enabling organizations to transition to certification with reduced complexity and stronger readiness.

What’s Included

  • Current-State Assessment & Gap Identification
    Evaluate existing AI systems, processes, and governance practices to identify risks, control gaps, and priority areas.

  • Governance Architecture & System Design
    Define governance structures, roles and responsibilities, decision frameworks, and escalation pathways aligned with organizational needs.

  • Risk Management Framework
    Establish processes for identifying, assessing, and mitigating AI-related risks across the lifecycle, including model risk, data risk, and operational risk.

  • Lifecycle Governance & Controls
    Implement policies and procedures governing model development, validation, deployment, monitoring, and decommissioning.

  • Monitoring, Metrics & Reporting
    Define KPIs, control effectiveness measures, and reporting structures to support transparency and accountability.

  • Internal Review & Continuous Improvement
    Establish governance review cycles, internal assessments, and corrective action processes to maintain and strengthen governance over time.

Outcome

A practical, scalable AI governance system that enables structured oversight, reduces risk, and supports responsible AI deployment—without requiring immediate certification.