AI Act Readiness Evidence
Orlo can support EU AI Act readiness by producing operational evidence for AI systems that are evaluated, deployed, governed, monitored, and improved through the platform.
For a practical guide that maps AI Act themes to runtime controls, evidence, and implementation steps, read EU AI Act Operational Readiness.
Orlo is not a full EU AI Act compliance management system. It does not decide whether a system is prohibited, high-risk, limited-risk, or minimal-risk. It does not replace legal advice, conformity assessment, quality management systems, post-market procedures, fundamental-rights impact assessments, or regulatory documentation ownership.
Its role is narrower and useful: Orlo helps teams prove how an AI system behaved in production.
Where Orlo Helps
| Readiness Concern | Orlo Evidence |
|---|---|
| System purpose and scope | Task definitions, owners, intended use, schemas, and deployment context |
| Risk controls | Validation rules, runtime limits, routing policies, approvals, fallback, containment |
| Data and testing | Datasets, reviewed traces, evaluation runs, recommendations, and uncertainty-aware results |
| Technical documentation inputs | Task versions, model choices, deployment snapshots, retrieval settings, monitoring records |
| Logging and traceability | Inference records, agent sessions, tool decisions, approvals, feedback, and audit trails |
| Transparency | Output structure, source attribution, validation outcomes, review markers, and abstentions |
| Human oversight | Approval gates, reviewer decisions, timeout behavior, and escalation evidence |
| Accuracy and robustness | Evaluation history, monitoring signals, drift indicators, feedback loops, and regression checks |
| Post-market monitoring | Production traces, incidents, feedback pressure, issue patterns, and improvement records |
What Orlo Does Not Do
Orlo does not provide:
- legal classification of AI systems
- a policy register
- a risk register
- vendor due diligence workflow
- DPIA or FRIA workflow management
- remediation task management
- formal legal approvals
- conformity assessment
- audit-pack sign-off
Those functions usually belong in legal, risk, GRC, privacy, procurement, security, or audit systems.
Practical Positioning
The right way to position Orlo for AI Act work is as an operational evidence layer.
It helps the organization answer:
- What AI task was approved?
- Which version was live?
- Which model, prompt, validation rules, retrieval settings, and routing policy were used?
- What controls were enforced at runtime?
- What human oversight happened?
- What traces, logs, approvals, and feedback exist?
- How did production evidence improve the next evaluation?
That evidence can support compliance work, but it does not replace the compliance program.