12-step
guided governance journey
A structured Journey that helps leadership align ownership, controls, and operating cadence.
Enterprise AI governance operating system
AI Governance Operating System
Unify policy, risk, compliance, privacy, approvals, evidence, control-domain operations, and executive reporting in one operating system that turns AI governance into a measurable, defensible business function.
Journey guides rollout Workspace runs operations Built for executives and operators
Live
workspace execution
Registry, evidence, approvals, reporting, privacy, and risk in one operational workspace.
AI-Assistant
embedded governance assistant
Embedded AI guidance for operating context, drafting support, and recommended next actions.
Domains
enterprise control oversight
Policy, access, privacy, safeguards, metadata, and identity controls connected in one environment.
Choose your entry point
One operating model. Two ways to start.
Start with the guided Journey or move into Workspace for AI inventory, risk, controls, evidence, approvals, privacy, and reporting.
Journey
Guided governance rollout
A structured path for leadership alignment, ownership, inventory, tiering, and control readiness before broader execution.
- Clarify context, ownership, inventory, risk appetite, and controls.
- Review deliverables, gate criteria, glossary guidance, and milestones.
- Build a common governance language before broader rollout.
Workspace
Operational governance workspace
A paid workspace for AI inventory, evidence, approvals, reporting, privacy, and risk across the organization.
- Run the AI registry, approvals, incidents, vendor diligence, and reporting.
- Track evidence readiness, open risks, governed deployments, and executive posture.
- Keep guidance, operations, and auditability inside one environment.
Operational proof
See governance move into execution.
Explore the product areas used to manage AI inventory, risk treatment, evidence, approvals, privacy review, and board reporting.
Executive command view
Board-ready posture at a glance
Give leadership a clear view of owner coverage, evidence readiness, exposure, incidents, and governed deployment progress.
Owner coverage
Evidence readiness
Open risks
Annualized exposure
Operational workspace
One workspace for decisions and follow-through
Equip teams to manage approvals, risk queues, evidence gaps, tasks, and recommended next actions in one place.
Recommended actions
Pending approvals
Risk register
Evidence queue
Control Domains
Control domains connected in one platform
Bring policy, access, privacy, safeguards, metadata, and identity together so governance decisions stay aligned across the enterprise.
Policy judgment
Access explainability
Privacy intent
Metadata observability
Journey to operations
Follow the path from mandate to operating cadence.
Move from context and inventory to tiering, controls, evidence, and ongoing oversight through a structured governance path.
01
Journey phase
Set the mandate
Context, intent, ownership, and governance authority are defined before expansion.
- 1Understand Context
- 2Set Intent & Risk Appetite
- 3Establish Ownership
02
Journey phase
Inventory and tier
Known systems, risk tiers, and vendor exposure become visible and governable.
- 4Discover & Inventory
- 5Classify, Tier & Risk Assess
03
Journey phase
Build control evidence
Policy baselines, maturity gaps, remediation work, and evidence packs become operational.
- 6Policy & Control Baseline
- 7Assess Readiness & Gaps
- 8Remediate & Build Evidence
04
Journey phase
Operate and improve
The program shifts into live monitoring, reporting, reassessment, and governance loop-backs.
- 9Enable & Communicate
- 10Operate, Monitor & Measure
- 11Improve & Sustain
- 12Reflect, Learn & Adapt
Control Domains
Extend the operating model across every control domain.
Control Domains connects policy, access, privacy, safeguards, metadata, and identity so governance stays aligned across the enterprise.
Policy orchestration
AI policy and control orchestration
Guardrails, simulations, obligations, and control review
Manage how AI decisions are evaluated against policy, controls, and governance obligations before material work moves forward.
Authorization posture
Access governance and review
Relationship access, explainability, and access oversight
Understand who can access governed assets, why that access exists, and where access posture needs attention.
Privacy governance
Data-use, privacy, and compliance controls
Profiles, lawful basis posture, and control alignment
Keep privacy commitments aligned with AI approvals, regulatory controls, and evidence across the operating model.
Safeguard operations
Sensitive data and prompt protection
Inspection, redaction, detection, and handling standards
Inspect sensitive content, apply protective controls, and maintain defensible handling standards for AI inputs, outputs, and artifacts.
Metadata intelligence
AI asset inventory, lineage, and dependencies
Search, ownership, lineage, blast radius, and governance context
Trace connected assets, understand dependencies, and see how governance decisions ripple through models, data, and systems.
Identity posture
Identity, role, and tenant administration
Sign-on readiness, role mapping, and access administration
Maintain a clean identity edge with visible access administration, role governance, and enterprise-ready sign-on posture.
Begin here
Bring AI governance into one operating model.
Start with Journey, open the portal, or bring your team into a product built for policy, controls, risk, privacy, evidence, and board-ready oversight.