Compliance evidence should come from what actually happened at runtime, not from an annual questionnaire. LUCKYSOFT maps the ledger of agent activity onto the frameworks regulators and auditors already use.
Every AI use case is triaged into the Act's risk tiers, so high-risk systems get the controls the law requires and low-risk systems are not buried in the same process.
Annex III screening for every agent and use case, with the reasoning recorded.
Fundamental Rights Impact Assessment templates pre-filled from the inventory.
Conformity documentation and post-market monitoring records, on demand.
Controls and telemetry are mapped to the framework's four functions, so the risk program reflects the estate as it runs — not as it was described last quarter.
Ownership, policy and accountability for every agent.
Inventory, context and data paths per use case.
Runtime metrics, detections and risk scoring.
Enforcement, response and documented remediation.
Operate an AI management system with living records instead of static documents: controls mapped, reviews scheduled, and evidence collected continuously toward certification.
Platform controls tied to AIMS clauses, deduplicated across frameworks.
Scheduled reviews with the state of the estate attached automatically.
Records your certification body can trace back to real activity.
Runtime detections speak the taxonomies your security team already reports in. Each finding carries its OWASP category and ATLAS technique, so triage starts with context.