Building AI governance
Organisations running several AI systems that want to steer AI compliance systematically rather than case by case.
Updated: 2026-09
AI governance gives your handling of AI a repeatable structure: an AI policy, a risk inventory, clear roles and a lifecycle process — oriented to ISO/IEC 42001. The result is the organisational backbone that produces the records the AI Act requires, audit-ready and durably.
A company with a single AI system can handle compliance case by case. A company running several and adding new ones continuously needs a system — otherwise every new application becomes its own project and the records drift apart.
An AI management system modelled on ISO/IEC 42001 creates that backbone: built once, it produces the required records repeatably and makes new AI systems manageable.
What you get
AI policy
The binding frame for how AI is handled in the organisation.
AI risk inventory
A maintained register of all AI systems with their risk classification.
Roles & responsibilities
Clearly assigned accountabilities across the lifecycle.
Lifecycle process
A repeatable process from introduction to decommissioning.
How it runs
- 01
Context
Clarifying goals, stakeholders and the scope of the system.
- 02
Build
Producing the AI policy, risk inventory, roles and processes.
- 03
Embedding
Anchoring the system in real work rather than in a filing cabinet.
- 04
Handover
Handing over operation, maintenance and internal audit.
Price framing
As an engagement or a package. We discuss scope and price range in a first conversation and put both in writing.
Indicative, not a binding quote — the frame is confirmed during scoping.
What drives the price? → Cost guide
Parent service: EU AI Act & Compliance Advisory
FAQ
Do we need ISO 42001 certification?
Not necessarily. We build the management system as the backbone; certification is an optional later step if customers or tenders require it.
Does this make us AI Act conformant?
It provides the organisational foundation that produces the records repeatably — conformity per system remains an assessment, which the system supports.
From how many AI systems is this worth it?
As soon as you run several systems or add new ones regularly — at that point a system saves more than it costs.
Building AI governance
Organisations running several AI systems that want to steer AI compliance systematically rather than case by case.