Evidence and governance
Orlo gives teams a shared record of AI work: what was tested, which version answered, which agent actions were permitted, and what people reviewed. Use that record to decide whether a task is ready, investigate a result, and improve the next release.
| Question | Where to look |
|---|---|
| Why was this model selected? | The comparison’s examples, returned answers, scores, and release link |
| What produced this answer? | Its task version, release, model, validation result, and retrieved passages |
| Why did this agent action run or stop? | The submitted step, permission decision, matching rules, and approval |
| Which shared instructions were available? | The skill version, publication history, task pins, and app retrievals |
| What changed after review? | Corrections, saved steps, dataset lineage, and later comparisons |
Guides
- Read the evidence Understand what each record establishes and who can access it.
- Checks and permissions Apply answer rules, agent permissions, and human approval to a workflow.
- Organize your team’s review Assign responsibilities and connect review to releases.
- EU AI Act evidence Use operational records as inputs to your organization’s readiness work.
Start with one task and follow review to release. Orlo provides operational evidence; your organization retains responsibility for its acceptance criteria, policies, and legal decisions.