AI Governance OS
Enterprise AI Governance Console
Run AI governance as an enterprise operating console.
Control AI intake, registry, policy rollout, runtime operations, and assurance evidence from one structured workspace model.
Workspace model
Global + local
Operating spaces
6 core domains
Audit continuity
Evidence to exports
Live Control Panel
AI Governance Console
Global spaces
Local navigation
Active work content
Registered tools
124
Pending approvals
17
Policy breaches
2
Policy acknowledgment
92.4%
4,812 employees acknowledged AI policy v3.2
Audit package
Q2 Compliance Evidence.zip
Generated 4 minutes ago for board risk committee
The current state
AI usage grows faster than enterprise control.
Most organizations have ambition, but no shared operating model for AI governance.
Without governance
Untracked AI activity creates operational, security, and regulatory blind spots.
- Shadow AI spreads faster than governance can keep up
- No central visibility on tools, prompts, and owners
- Approvals happen in chats, not in controlled workflows
- Sensitive data can be exposed to unvetted vendors
- Policies are fragmented across documents and teams
- Audit evidence is manual, incomplete, and stressful
With AI Governance OS
Structured approvals, clear ownership, and evidence by design.
Visibility
Enterprise-wide inventory
Control
Policy-driven review workflow
Risk
Data-aware restrictions and conditions
Evidence
Continuous audit trail and exports
Console spaces
A workspace architecture built for deep governance products.
Cadriva is structured as explicit product spaces: global navigation selects the domain, local navigation controls the exact work surface.
Intake & Review
Control declaration inflow, queue pressure, and review accountability.
Global space + local tabs
AI Registry
Maintain governed inventories of AI tools, use cases, agents, MCP, and integrations.
Global space + local tabs
Policy Program
Author guardrails, reusable packs, and policy rollout obligations.
Global space + local tabs
Operations
Connect observability signals to runtime decisions and remediation loops.
Global space + local tabs
Assurance
Keep evidence, exports, audit logs, posture, and adoption in one explicit chain.
Global space + local tabs
Administration
Separate directory governance from organization-level platform operations.
Global space + local tabs + nested directory
Platform overview
One governance control plane for enterprise AI operations.
Designed as a structured operating console, not another assistant feature catalog.
AI tools registry
Centralize every AI product and model used across business units.
Use case declaration
Capture purpose, data types, owner, and processing context in one flow.
Approval workflows
Route requests to security, legal, compliance, and IT with clear decisions.
Policies and guardrails
Apply approved, restricted, or banned rules by team, risk, and data class.
Literacy tracking
Track policy acknowledgment and AI literacy status by function.
Audit-ready reporting
Export evidence packages for audits, leadership reviews, and regulators.
Feature highlights
Control surfaces for real governance operations.
Move from fragmented checks to an explicit governance operating model.
Centralize AI tools and use cases
Move from scattered spreadsheets to a controlled inventory with ownership and risk metadata.
Route approvals to security, legal, and IT
Enforce accountable review paths with timestamped decisions and escalation logic.
Define approved, restricted, or banned usage
Translate policy intent into operational guardrails teams can follow consistently.
Track acknowledgment and AI literacy
Measure policy adoption and training completion before expanding AI access.
Export evidence for audits and leadership
Generate board-ready snapshots and compliance artifacts without manual stitching.
Governance chain
From request intake to audit evidence without navigation dead ends.
Each stage has its own workspace surface, with explicit handoffs so teams keep context while moving across review, controls, and assurance.
1. Intake & Review
Register requests, scope data sensitivity, assign ownership, and decide with accountability.
- Decision trace
- Control conditions
- SLA visibility
2. Registry & Policy
Map approved usage into governed assets and enforce policy intent at scale.
- Governed inventory
- Policy coverage
- Acknowledgment status
3. Operations
Observe runtime behavior, triage governance findings, and manage exceptions and recertifications.
- Runtime decisions
- Findings backlog
- Exception lifecycle
4. Assurance
Produce evidence packs, exports, and audit traces while tracking posture and adoption maturity.
- Evidence continuity
- Audit-ready exports
- Readiness posture
How it works
A governance workflow that preserves context across teams.
From request intake to runtime control to assurance evidence, each handoff is explicit and traceable.
Register an AI tool or use case
Teams submit what they want to use, why they need it, and what data is involved.
Review risk, data, and ownership
Security, legal, and compliance review risk posture with a shared decision context.
Approve with conditions or restrict
Decide with guardrails, obligations, and renewal dates tailored to each request.
Keep an audit-ready record
Every action is logged and exportable for audits, internal controls, and executives.
Role lenses
One console model, different role depth.
Cadriva keeps the same navigation model across personas, while RBAC controls which spaces and subdomains each role can access.
Admin
Cross-space control, policy ownership, and platform administration.
- Own policy program
- Manage runtime controls
- Configure organization and imports
Reviewer
Queue-first governance execution with decision accountability.
- Work review queue
- Handle exceptions and recertifications
- Operate runtime findings
Auditor
Evidence-first navigation for traceability and export continuity.
- Access evidence and audit logs
- Run exports
- Validate governance posture
Employee
Simple request and obligation flow without exposing deep control surfaces.
- Submit requests
- Track notifications
- Acknowledge policies
Global spaces remain consistent. Local tabs adapt to role permissions.
Team fit
Connect every stakeholder around one governance system.
AI Governance OS aligns decision-makers and requesters with shared context.
Security Teams
Assess risk exposure, data handling, and vendor posture before enabling usage.
Compliance Teams
Maintain policy evidence and control mappings across the organization.
Legal / DPO
Validate privacy, contractual obligations, and high-risk processing boundaries.
IT Leadership
Steer enterprise-wide AI adoption with clear ownership and operational control.
Business Teams
Request AI usage quickly with transparent requirements and response timelines.
Business outcomes
Turn AI governance into a strategic capability.
Improve adoption quality while reducing unmanaged exposure and audit friction.
Full visibility
Know what AI is used, where, by whom, and with what risk profile.
Lower operational risk
Reduce uncontrolled usage and sensitive-data exposure with enforceable guardrails.
Clear governance
Standardize decisions and accountability across security, legal, compliance, and IT.
Controlled AI adoption
Enable teams without sacrificing oversight or policy discipline.
Audit and board readiness
Produce reliable evidence packs for audits, leadership, and external stakeholders.
Plans
Choose your governance operating model.
Subscribe in an async written flow with direct self-serve checkout and no manual quote.
Starter
299 € / month
Structure AI usage with a clear governance frame.
- Up to 30 users
- Up to 3 admins/reviewers
- CSV exports
+ AI tools and use cases registry
+ Basic intake and review workflow
+ Core policy guardrails
+ Limited exports and audit trail
+ Starter administration
+ Standard async support
Business
Serious governance default999 € / month
Govern AI usage properly across teams and controls.
- Up to 250 users
- Up to 25 admins/reviewers
- CSV, XLSX, PDF exports
+ Full intake, registry, and policy program
+ Operations workspace (observability + runtime controls)
+ Assurance workspace (evidence, exports, audit logs, posture, adoption)
+ Advanced administration and directory governance
+ Priority async support
+ Enhanced written onboarding
+ Standard security documentation
Start subscription checkout
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Deploy a full AI governance console, not a disconnected tool stack.
Choose a plan, activate your organization, and run intake, policy, operations, and assurance in one structured workspace model.