EU AI Act readiness
Organize EU AI Act readiness around systems, obligations and evidence.
Gamut helps teams identify AI systems, classify risk, track applicable requirements, capture human oversight and monitoring evidence, and keep readiness work visible to legal, security, risk and leadership teams.
Discuss EU AI Act readinessThe assurance problem
EU AI Act readiness is not only a legal interpretation exercise. Teams also need operational records showing what AI exists, who owns it, what risk tier applies, what obligations are uncertain, and what evidence supports the control position.
System records
Capture purpose, owner, provider, deployer context, affected persons, lifecycle state, data context and geographic exposure.
Risk classification
Classify AI systems and identify where high-risk, transparency, prohibited-use or general-purpose AI questions need further review.
Evidence quality
Connect policies, testing, oversight, data governance, logging, monitoring and supplier evidence to each relevant system.
How Gamut supports readiness
Requirement status
Track whether a requirement appears applicable, not applicable or uncertain so review work remains explicit.
High-risk evidence
Organize evidence for risk management, data governance, technical documentation, logs, transparency, human oversight, accuracy and robustness.
Findings and remediation
Turn weak or missing evidence into owned findings with priority, due dates, treatment decisions and residual risk.
Leadership reporting
Produce readiness summaries that separate known coverage, open gaps, uncertain obligations and decisions requiring escalation.
Important note
Gamut supports readiness, evidence discipline and operating governance. It does not replace legal advice, regulatory interpretation, notified-body assessment or a formal audit opinion.