High-risk systems must be explainable
Organizations must know which AI systems are used, who owns them, their risk class and what documentation exists.
Control AI risk, documentation and compliance before regulators ask
LexiCompliance brings AI Act and MICA into one operating surface, with CRA coming: system register, risk classification, controls, evidence, signing and audit trail.
AI Act ready
Model and system register
Evidence per control
TSA-signed audit trail
FrameworksAI Act + MICA
Primary riskHigh-risk AI
DocumentationAnnex IV
Control modelEvidence-driven
AI governance is not a policy document. It is an operating requirement.
Software becomes a compliance object
The Cyber Resilience Act requires traceability from product and vulnerability to controls, ownership and documented follow-up.
Digital assets need governance
Crypto, tokenization and digital finance products must connect to risk, reporting, ownership and ongoing control.
One workspace from mapping to audit-ready evidence
This is built for teams moving from loose AI policy to practical control: legal, security, product, IT and leadership work on the same dataset.
How you get control without drowning the team
Map the systems
Collect internal AI tools, third-party models, automated decisions and product features in one register.
Classify risk
Assess prohibited, high-risk, limited-risk and general AI with rationale and traceable decision.
Map requirements to controls
Bridge regulatory requirements, internal controls, technical documentation and accountable owners.
Collect evidence
Store documents, assessments, screenshots, approvals and audit notes on the right requirement.
Report and sign
Generate board report, gap analysis and regulatory basis with Ed25519/TSA-based integrity.
Monitor change
Keep control alive as models, vendors, use cases and legal requirements change.
Three frameworks, one governance model
The AI Governance category connects the technology regulations affecting modern digital organizations.
AIACTAI Act
Risk classification, Annex IV documentation, human oversight, transparency, data governance and post-market monitoring.
CRAComingCyber Resilience Act
Product overview, security requirements, vulnerability follow-up, vendor control and technical documentation.
MICAMICA
Controls for digital assets, accountability, risk assessment, reporting and governance documentation.
Make AI governance operational
Start with the system register, build evidence per requirement and get an audit-ready governance model before customers, the board or regulators ask for it.