What should an organisation define before allowing an AI agent to act?
Start with the workflow, the systems the agent can change, the evidence it relies on and the people who retain approval authority. Define where execution must stop, when a person should intervene and how outcomes will be checked. A useful scope names the action, not just a broad goal such as “improve finance”.
How does Prudenze fit into an AI implementation?
Prudenze provides a control plane for consequential AI actions, connecting identity, authority, policy, evidence, execution and outcome verification. Its role should be scoped around the actions and systems involved in the implementation. A product capability does not establish that a particular integration or control has already been configured for your organisation.
Can execution controls replace security and authorisation?
No. Applications still need access controls, secure integrations and appropriate permissions. Execution controls address additional questions about whether a particular action should proceed under its current conditions. These layers should complement one another rather than treat possession of a credential as sufficient authority for every action.
Where should a first implementation begin?
Choose a bounded workflow with an identifiable owner, observable inputs and a result that can be checked. Document the existing manual decision before automating it. Agree which cases remain with people, what evidence is required and how to stop or reverse a permitted action where reversal is possible.
What would count as useful evidence from an evaluation?
Look for records that connect the requested action to its inputs, applicable authority, approval decision and observed result. Include denied actions and exceptions, not only successful examples. An evaluation should expose where controls fail or require clarification; a successful demonstration alone is not evidence for every operating condition.
An illustrative evaluation
An agent proposes a supplier payment. The workflow identifies the supplier and amount, checks delegated authority and required approvals, rechecks relevant evidence and verifies the result. A missing approval stops execution rather than becoming a task for the agent to work around. This is an illustrative control pattern, not a claim of a deployed payment integration.
Explore the relevant work
Product descriptions reflect published positioning, not a guarantee that every capability is configured or independently validated for your environment.