Platform / Operating governance
AI governance software that keeps the work connected.
EU AI Fit connects each AI system to its purpose, owner, regulatory reasoning, evidence, suppliers, trained people, operating risks and next decisions. The result is a maintained working record rather than a compliance score or annual spreadsheet refresh.
Product demonstration · 1 minute 40 seconds
Your daily AI governance Action Centre
See how requirements, risks, supplier actions, specialist findings and review signals become one explainably prioritised queue. All organisations, people and systems shown were created for demonstration, and no client data appears.
Read the video transcript
AI governance work arrives from many directions. The EU AI Fit Action Centre brings overdue requirements, unassigned risks, supplier actions, specialist findings, lifecycle decisions and stale reviews into one controlled queue.
The team sees what is open, urgent, unowned and due soon. Each recommendation explains why it is prioritised; it is not a hidden compliance score. Filters narrow the work by assignment, category, priority, system or owner.
Opening an action returns the user to its authoritative source record. The practical benefit is focus with accountability: what matters now, why it matters, who should act and where the supporting record belongs.
Why this matters
Governance breaks when the decision and its evidence live in different places.
An inventory may name the system while risk sits in another register, supplier evidence in email, training in an LMS and approvals in meeting notes. When the system changes, nobody can see which conclusions must be revisited.
EU AI Fit makes the AI system the organising boundary. Work is prioritised, but completion still happens in the authoritative obligation, risk, supplier, training or review record so the platform does not create competing versions of the truth.
Who it is for
For cross-functional teams maintaining AI decisions after initial assessment.
- Governance and compliance leads coordinating the programme
- System owners accountable for purpose and operating controls
- Product, engineering, security, privacy and procurement contributors
- Leadership and advisers reviewing portfolio-wide decisions
How the work moves
Connect governance decisions to the work and records they control.
- 01
Establish the portfolio
Discover AI use and record purpose, provider, model, users, affected people, geography, lifecycle state and accountable ownership.
- 02
Make controlled decisions
Retain exposure, regulatory-role and classification reasoning with sources, reviewers, assumptions and an explicit approval state.
- 03
Operate the controls
Connect obligations to evidence, supplier conditions, policies, training, risks, indicators, incidents and responsible people. Accepted residual risk remains owned and dated rather than disappearing from view.
- 04
Review change
Use review dates and material-change signals to reopen affected decisions, prioritise action and preserve the history management relied on.
In this scenario
A supplier model changes after a product has entered production
In this scenario, a SaaS team receives notice that the model behind its customer-support feature will be replaced next month.
The model relationship identifies every relying system. The change appears in the Action Centre with an explanation of the classifications, supplier evidence, controls, disclosures and briefings that may need review.
Owners update the affected source records, retain the supplier response and request a lifecycle decision. Existing approvals remain in history; they are not presented as current after the facts have changed.
Management can see the change, its effect, the accepted owners and the remaining decisions without reconstructing the story from several tools.
What is retained
An operating trail that remains usable between reviews.
The managed compliance desk uses these records to run a disciplined recurring review.
- AI portfolio and lifecycle history
- Accepted ownership and decision record
- Source-linked role and classification rationale
- Obligation, evidence and policy controls
- Supplier, training, risk and incident records
- Explainable actions and recurring management review
Source basis
The official material behind the workflow.
Source review updated 31 August 2026. Read our editorial and regulatory review policy, check the current source and obtain qualified advice for your circumstances.
- Regulation (EU) 2024/1689
The official consolidated source for roles, classifications, obligations and lifecycle requirements.
- EU AI Act Service Desk
European Commission implementation and navigation resources.
- NIST AI Risk Management Framework
A voluntary risk-management reference that can inform wider governance without replacing EU legal analysis.
Next step
Start with the system that creates the clearest business consequence.
Build one complete record, learn where the evidence and decision gaps sit, then extend the operating method across the portfolio.
Discuss a readiness sprint