EU AI Act evidence for agent workflows.
The EU AI Act requires transparency, traceability, risk management, and human oversight for many high-risk systems. AKIOS Pro helps teams capture the evidence those obligations demand, inside their own infrastructure.
The Mandate
For high-risk AI systems, the EU AI Act moves beyond principles to concrete evidence requirements. Compliance is no longer a policy document; teams need records they can review and export.
Article 14: Human Oversight
Systems must allow for effective human oversight. That requires review records, escalation paths, and evidence that human intervention is possible when risk demands it.
Article 13: Transparency
Operations must be sufficiently transparent to enable users to interpret the system's output. Black-box reasoning is no longer acceptable for critical decisions.
Article 15: Accuracy
High-risk AI systems must achieve an appropriate level of accuracy, robustness, and cybersecurity, and perform consistently throughout their lifecycle.
The AKIOS Pro Solution
We map regulatory requirements to self-hosted evidence capabilities. AKIOS Pro observes existing systems and helps prove governance without taking ownership of execution.
RADAR in AKIOS Pro
Solves Article 12 (Record-Keeping) and Article 13 (Transparency).
- →Trace records for material agent activity.
- →Reviewable timeline for legal and security teams.
- →Evidence exports for record-keeping workflows.
FLUX in AKIOS Pro
Solves Article 14 (Human Oversight).
- →Review and escalation records.
- →Risk signals for runaway agent behavior.
- →Human-in-the-loop evidence for high-risk activity.
AKIOS Pro governance
Supports Article 15 (Accuracy, Robustness & Cybersecurity) evidence.
- →Governance signals and review evidence.
- →Adversarial testing records.
- →Continuous drift and anomaly monitoring.
Ready to Ship?
Don't let regulation freeze deployment. Evaluate AKIOS Pro as the self-hosted evidence layer for regulated AI.
Compliance evidence as code.
Don't rely on PDF policies alone. Capture evidence from the systems already running your AI workflows.
{
"example": "Reasoning Chains (Art. 13)",
"description": "Every agent decision is captured with a cryptographic trace, linking input, reasoning, and action."
}Reasoning Chains (Art. 13)
Every agent decision is captured with a cryptographic trace, linking input, reasoning, and action.
{
"example": "Intervention Gates (Art. 14)",
"description": "Record review queues, approvals, and escalation reasons when high-risk conditions are met."
}Intervention Gates (Art. 14)
Record review queues, approvals, and escalation reasons when high-risk conditions are met.
{
"example": "Drift Detection (Art. 15)",
"description": "Continuously monitor model performance against baseline metrics to detect accuracy degradation."
}Drift Detection (Art. 15)
Continuously monitor model performance against baseline metrics to detect accuracy degradation.