Your single source of truth for AI use cases and applications
Register every AI system with unique UC-IDs, risk classification, stakeholder assignment, and automatic compliance framework linkage.
The challenge
You can't govern AI you can't see
Organizations are deploying AI faster than governance can keep up. Without a structured registry, compliance becomes impossible.
Business units deploy AI applications without notifying compliance, creating 'shadow AI' that exposes the organization to regulatory risk
No standardized way to classify AI risk means inconsistent treatment of similar applications across departments
When EU AI Act enforcement begins, you need to prove which systems are high-risk and what controls are in place
Stakeholder accountability is unclear - who owns each AI application? Who approved it? Who's responsible if it fails?
Compliance frameworks are created manually and inconsistently, leading to gaps that auditors will identify
Status tracking happens in spreadsheets that become outdated the moment they're created
Benefits
Why use AI registry?
Key advantages for your AI governance program
Register use cases with auto-generated UC-IDs (UC-1, UC-2, etc.)
Classify risk levels per EU AI Act (Prohibited, High, Limited, Minimal)
Track 7 project statuses from Not Started to Closed
Auto-create compliance frameworks upon approval
Capabilities
What you can do
Core functionality of AI registry
Use case registry
Register AI applications with unique UC-IDs, owner assignment, member collaboration, and goal documentation.
Risk classification
Classify by EU AI Act risk levels: Prohibited, High risk, Limited risk, and Minimal risk with high-risk role designation.
Status workflow
Track use cases through 7 statuses: Not Started, In Progress, Under Review, Completed, Closed, On Hold, and Rejected.
Framework assignment
Link use cases to EU AI Act, ISO 42001, ISO 27001, or NIST AI RMF with automatic control generation.
Healthcare example
How a hospital network achieved full AI visibility
See how organizations use this capability in practice
The challenge
A healthcare network with 12 hospitals was using AI across radiology (image analysis), patient scheduling, and clinical decision support. With regulatory enforcement approaching, they needed to identify which systems were high-risk and implement appropriate controls - but they had no central registry.
The solution
They implemented a centralized AI registry and cataloged all AI applications with unique identifiers. Their radiology AI was classified as High-risk (medical device), requiring them to designate their role as Deployer. Patient scheduling was Limited-risk, and some internal analytics tools were Minimal-risk. Each classification triggered the appropriate compliance framework.
The outcome
The network now has a complete registry of 34 AI applications across all facilities. High-risk systems have full conformity documentation, and compliance teams can demonstrate to regulators exactly what AI they deploy, how it's classified, and what controls are in place.
Why VerifyWise
Purpose-built for AI governance
What makes our approach different
Risk classification that matters
Risk levels (Prohibited, High, Limited, Minimal) are built in. High-risk applications automatically require role designation - are you the Provider, Deployer, or Distributor?
Automatic framework generation
When a use case is approved, compliance frameworks are created automatically. No manual setup, no forgotten controls, no gaps for auditors to find.
Complete audit trail
Every change is tracked: who created it, who approved it, what changed, and when. When regulators ask questions, you have answers.
Regulatory context
What regulations require
AI governance regulations require organizations to know what AI they have and how it's used. Here's the regulatory landscape.
Organizations must classify AI systems by risk level. High-risk systems (Annex III) require conformity assessment, registration in the EU database, and ongoing monitoring.
Deployers of high-risk AI must implement human oversight, ensure data quality, keep logs, and inform affected individuals. They must designate their role in the AI value chain.
Organizations must determine the scope of their AI management system, including identifying all AI systems, their purposes, and the interested parties affected by them.
The MAP function requires organizations to establish context for AI systems including purposes, stakeholders, and potential impacts before deployment.
Technical details
How it works
Implementation details and technical capabilities
Automatic UC-ID generation from tenant-specific database sequence (UC-1, UC-2, UC-15, etc.)
EU AI Act risk classification: Prohibited, High risk, Limited risk, Minimal risk
6 high-risk role types: Deployer, Provider, Distributor, Importer, Product Manufacturer, Authorized Representative
7-stage status workflow: Not Started→In Progress→Under Review→Completed/Rejected/On Hold→Closed
Project owner and member assignment with role-based email notifications (admin, reviewer, editor, auditor)
Pending frameworks queue: frameworks stored until approval workflow completes, then auto-created
Cascading deletion: removes risks, members, framework data, files, and records change history
Geography, target industry, and description fields for comprehensive use case documentation
Supported frameworks
Integrations
FAQ
Common questions
Frequently asked questions about AI registry
More from Discover
Related capabilities
Other features in the Discover pillar
Ready to get started?
See how VerifyWise can help you govern AI with confidence.