Glossary · ISO and management systems
An AIMS turns scattered AI decisions into one governed routine.
The set of policies, roles, risk and impact processes, controls and reviews an organization uses to govern the AI systems it builds, supplies or uses.
Back to the glossary01 · In plain words
In plain words
The set of policies, roles, risk and impact processes, controls and reviews an organization uses to govern the AI systems it builds, supplies or uses.
Most companies already make AI decisions: which model to buy, what data to train on, who signs off a launch. An AI management system (AIMS) gathers those decisions into one routine with named owners, written rules and a regular check. ISO/IEC 42001 is the standard that describes what a good one contains.
Spelled out: AI management system.
02 · Why it matters
Why it matters
Who cares about this, and what depends on it.
Buyers and regulators now ask how you control your AI, not only whether it works. An AIMS gives a single answer: here is our AI policy, here is the register of systems, here is how we judged their risks and their effects on people, and here is the record of review. Without one, every customer questionnaire becomes a fresh scramble across product, data and legal teams. With one, the same evidence serves a buyer, an internal board and, if you choose, a certification audit against ISO/IEC 42001.
03 · Where you meet it
Where you will meet it
The documents, meetings and reports where it appears.
- The AI policy
- Leadership's statement of how the organization intends to develop and use AI, and the top document of the AIMS.
- The AI system inventory
- The list of models and AI features in scope, each with an owner and a role, such as developer or user.
- Enterprise customer questionnaires
- Sections on AI governance increasingly ask whether such a system exists and who runs it.
- The certification audit plan
- The scope line of an ISO/IEC 42001 audit names the AIMS and the AI systems it covers.
04 · An example
A worked example
An illustration, not a real client.
Illustrative: a hiring-software vendor with three models and no owner
A Pune vendor sells a résumé-ranking tool built on three models, one licensed and two trained in house. Each team tunes its own model and nobody holds the overall view. Setting up an AIMS, the vendor names an accountable executive, writes a one-page AI policy, lists the three models with their data sources, and runs an impact assessment on the ranking feature because it affects job applicants. A quarterly review now looks at drift reports and complaints. Nothing about the models changed in week one; what changed is that every decision now has an owner and a record.
05 · Easy to mix up
Easy to mix up with
Neighbouring terms that mean something different.
- ISMS
- An information security management system governs the protection of information. An AIMS governs how AI is designed, deployed and monitored, including fairness and effects on people.
- AI system
- The AI system is the thing being governed. The AIMS is the management routine around it.
06 · What to do
What to do with it
Practical steps, and the guides that go deeper.
- List every AI system you build, buy or embed, with an owner and your role for each.
- Write a short AI policy that leadership signs and that the teams can actually follow.
- Decide how you will judge both the risks to the business and the impacts on people.
- Schedule the first internal review before deciding whether to seek certification.
- GuideAI governance & the AIMSPrinciples, clauses 4–10, the operating model and the first five moves.
- GuideAdding ISO 42001 to ISO 27001One system, two certificates: what carries over and what's new.
Sources: public ISO summaries of ISO/IEC 42001:2023 (artificial intelligence management system) and the common ISO management system structure.
Questions about AIMS
Do we need an AIMS if we only use third-party AI tools?
Usually yes, scaled to what you use.
Using AI still creates risks: data you feed in, decisions you base on the output, people affected by them. A lean AIMS for a deployer focuses on vendor choice, permitted uses and monitoring rather than model training.
Can an AIMS share documents with our ISMS?
Yes, much of the skeleton is common.
ISO management system standards share a common clause structure, so policy control, internal audit, management review and corrective action can run once for both. The AI-specific parts, such as impact assessment and data for models, are added on top.
Want this applied to your own systems?
Our team can walk through where this term touches your scope, your contracts and your evidence.