What is Artificial Intelligence Management System (ISO/IEC 42001)
An AIMS is basically a set of rules, processes, and responsibilities that help an organization use AI safely, responsibly, and consistently.
Think of it as the “traffic system” for AI inside a company
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It tells people what they can do.
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What they must not do.
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How to avoid accidents.
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How to fix issues.
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And how to keep everything running smoothly.
ISO 42001 is the standard that defines how this system should work.
Why we need AIMS compliance
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Artificial Intelligence is increasingly applied across all sectors utilizing information technology and is expected to be one of the main economic drivers.
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Can help organisations responsibly perform their role with respect to AI systems
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To integrate the AI system with organisation’s processes and overall management structure
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Organisations can demonstrate its responsibility and accountability regarding its role with respect to AI systems.
Full‑Cycle ISO 42001 Implementation (End‑to‑End)
A comprehensive engagement covering the entire AIMS lifecycle.
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Scope definition
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Gap assessment
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Policy & Procedure development
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AI risk management framework
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AI lifecycle governance setup
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Control implementation support
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Internal audit & certification readiness
Best for: Organizations starting from scratch
Phase‑Wise / Modular Consultation
Clients pick only the modules they need
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Modules may include:
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AI governance framework
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AI risk and impact assessment
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Data governance for AI
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Model lifecycle management
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Responsible AI policy creation
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Documentation package development
Best for: Mature organizations needing targeted support
Retainer‑Based Advisory (vAIO / vCISO‑AI)
Ongoing strategic guidance for AI governance
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Monthly advisory hours
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Review of AI use cases
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Risk assessments
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Policy updates
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Board/leadership briefings
Best for: Organizations with evolving AI programs
Project‑Based Consultation
Fixed‑scope, fixed‑timeline projects
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AI risk register creation
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AIMS documentation pack
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AI impact assessment (AIA)
Best for: Companies with specific deliverables
Auditing Engagement Models
A full internal audit aligned with ISO 42001 requirements.
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Document review
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Evidence sampling
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Interviews
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Audit report with NCs & OFIs
Best for: Certification readiness
Internal Audit (Pre‑Certification)
Quarterly or bi- annually or annual audits to maintain compliance.
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Control effectiveness checks
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AI risk updates
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Model monitoring review
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Corrective action tracking
Best for: Organizations already certified or about to undergo their surveillance audits.
Periodic Audits
Audit of vendors providing AI systems or services
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AI governance review
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Data handling assessment
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Model transparency evaluation
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Contractual compliance checks
Best for: Companies using external AI providers.
Supplier / Third‑Party AI Audit
A lighter audit to identify gaps before implementation
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High‑level review
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Gap scoring
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Roadmap creation
Best for: Early‑stage organizations.
Gap Assessment Audits