AI Governance
Command Center
Turn scattered AI use, policies, and evidence into one accountable operating system—from discovery through board oversight.
Most organizations have AI activity.
Few have a reliable AI operating model.
Teams adopt models and copilots faster than governance groups can identify them.
Assessments, approvals, policies, and testing results live across separate systems.
Leaders lack a defensible record of ownership, risk acceptance, and ongoing oversight.
Everything needed to govern the AI lifecycle.
Designed for technology, cybersecurity, risk, legal, compliance, audit, and business owners.
AI inventory
Register systems, models, vendors, owners, data use, lifecycle, and intended purpose.
Risk assessment
Apply consistent classification based on impact, autonomy, data, and affected groups.
Control mapping
Map one control set across NIST AI RMF, ISO/IEC 42001, and regulatory obligations.
Evidence vault
Connect testing, documentation, and policy evidence to systems and controls.
Accountable approvals
Record conditions, exceptions, residual risk, decision makers, and rationale.
Executive reporting
Translate operational governance into exposure, maturity, decisions, and next actions.
Five stages. One auditable process.
Start with the AI systems that matter most.
A practical pilot can establish the inventory baseline, risk model, control mapping, and executive readiness view for a selected portfolio.
- Priority-use-case onboarding
- Risk and control baseline
- Governance workflow configuration
- Executive findings brief
Use fictional data in the public demo, then configure the approach around your organization’s actual governance model.
Open the pilot command center →