From open questions to evidence you can export.
Agents get identities
Their own accounts with limited rights instead of shared API keys. What an agent reads, writes and decides is attributable to it, which is the basis of any control.
Approvals follow the risk
Routine steps run autonomously, while sensitive operations such as discounts, deletions or external communication need a human approval. You set the thresholds, not the model.
And the evidence is created in operation
Logged decisions, documented changes, analysable incidents. When an audit, the works council or the EU AI Act asks, the answer is an export rather than a project.
Four things that keep AI accountable.
Approval & permission model
Agents with their own identities and limited rights, with sensitive steps requiring human approval.
Logging & audit trails
Every action attributable and retrievable, for internal control as well as external review.
EU AI Act classification
Your use cases classified by risk, obligations derived and anchored in the platform.
Policies & enablement
Understandable rules for teams working with agents, trained rather than merely published.
