Inventory and assess
Catalogue systems, owners, intended uses, dependencies and affected people. Prioritise AI risk and impact assessments and record approval decisions.
Build the evidence to govern AI in use. Enrich supports AI risk and impact assessments, governance design and implementation of an AI management system aligned to ISO/IEC 42001.

Choose one AI system in use or planned. Check whether you can show the evidence needed to govern it through deployment and review.
Your answers stay on this page. If you choose to enquire, the form carries the offering and check name.
This is a planning self-check. It does not establish ISO/IEC 42001 conformity or certification.
Catalogue systems, owners, intended uses, dependencies and affected people. Prioritise AI risk and impact assessments and record approval decisions.
Define the scope of the AI management system (AIMS), policy, decision rights and responsibilities. Embed approval gates, human review, use and data controls, and escalation in everyday workflows.
Set evidence and monitoring requirements for approved uses, changes and incidents. Train responsible teams, review exceptions and prepare evidence for internal review and audit readiness.
A gap assessment and a sequenced roadmap with owners, dependencies and evidence priorities.
An AI inventory and risk register, policy and review templates, operating controls, and guidance for rolling them out.
An evidence walkthrough, review cadence and role-specific training for people who own, approve or operate AI systems.
The workshop helps teams agree guardrails and roles. This service can build on those decisions by assessing risks, putting controls into operation and collecting evidence across AI systems.
Yes. Use one system to review ownership, intended use, data, risks and review evidence. The findings can inform the scope and priorities of the wider AI management system.
Enrich offers readiness, implementation and evidence support. Any certification decision is made separately by the certification body.
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