Policies Without Controls

AI policies exist in documents but have no operational connection to the systems, agents, models, data and people they are supposed to govern.

Inventory Without Visibility

Nobody knows the full list of AI systems the organization uses, what data they access, what decisions they influence or who is accountable.

Risk Without Evidence

AI risks are identified in workshops but not tracked, tested or documented with evidence that controls are working.

Compliance Without Readiness

ISO 42001, EU AI Act and regulatory obligations require operational proof — not just intent — that governance is functioning.

AI System Inventory

• — Discover and register all AI systems
• — Model and vendor tracking
• — Use-case documentation
• — Agent inventory
• — Data source linkage

Risk Classification

• — Risk-level assignment
• — FAIR quantification support
• — Impact and probability scoring
• — Regulatory category mapping
• — High-risk system flagging

Policy Management

• — AI policy library
• — Policy version control
• — Owner assignment
• — Review workflows
• — Evidence of compliance

Control Library

• — Control design and mapping
• — Control ownership
• — Testing schedules
• — Effectiveness tracking
• — Gap identification

Evidence Management

• — Evidence capture workflows
• — Document versioning
• — Audit trail generation
• — Inspector access
• — Gap alerts

Human Oversight

• — Oversight role assignment
• — Approval workflows
• — Escalation paths
• — Override records
• — Accountability mapping

Incident Response

• — Incident registration
• — Severity classification
• — Response workflow
• — Root-cause documentation
• — Board reporting integration

Regulatory Obligation Management

• — Obligation register
• — Deadline tracking
• — Cross-regulation mapping
• — Evidence linkage
• — Readiness scoring