Every AI system has an accountable owner
Purpose, users, data sources, suppliers, risks and decision authority are explicit.
AI GOVERNANCE / OPERATIONAL CONTROL
AI governance that connects policy, technical controls and day-to-day operations.
Governance is not a document stored in a folder. It is a set of decisions, technical controls and operating records that lets a company know where AI is used, with which data, under whose authority and with what evidence.
01 / PRINCIPLE
Rules have to be translated into the system.
A policy becomes effective only when it is reflected in identity, permissions, model routing, evaluation, logs and approval steps.
Model changes require evidence
New versions pass reference scenarios, safety tests and impact review for critical workflows.
Important events remain traceable
Material inputs, model version, sources, tools, approvals and results are logged to a level proportionate to risk.
EU AI ACT / REVIEWED 7 AUG 2026
As of 2 August 2026, the European Commission AI Office and Member State authorities have entered the enforcement phase for the AI Act, and Article 50 transparency obligations apply to covered AI systems. Deployment scope still determines the exact obligations. See the Commission enforcement update and the Article 50 transparency guidelines.
02 / IMPLEMENTATION
Minimum governance pack
A first production deployment can start with a concise but usable set: AI inventory, data classification, role matrix, approval rules, evaluation set, model registry, incident procedure and scheduled review. Depth increases with impact.
- 01AI inventory
Where AI is used, who owns it and what outcome it supports.
- 02Data policy
Approved sources, sensitivity, retention and transfer boundaries.
- 03Model & prompt registry
Versions, changes, tests, approvals and rollback.
- 04Operational review
Quality, incidents, cost, user behaviour and emerging risk.
03 / DECISIONS
Questions to resolve before deployment.
Scope, architecture and automation level depend on data sensitivity, the workflow and accountability for the outcome.
Is governance too complex for a small company?+
It does not have to be. A small company can begin with one page of rules, a use-case list, an owner, data classification and approval of sensitive steps.
Is governance only a legal task?+
No. It connects management, security, IT, process owners and users. Rules have to appear in the technical configuration and operating procedures.
How often should governance be updated?+
Whenever the model, data, tools or purpose changes, and on a regular operating cadence proportionate to risk and rate of change.
Governance should produce operating evidence.
We connect business ownership, data controls, evaluation, approval gates and change records to the actual architecture.