Your AI Risk & Quality Management Platform
Build and operate the Risk Management System (RMS) and Quality Management System (QMS) that the EU AI Act expects for high-risk AI. Register systems, track risk across the lifecycle, document controls, and maintain certification and insurance — all in one place.
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Aligned with the EU AI Act
The EU AI Act requires providers of high-risk AI systems to implement a Risk Management System (RMS) and a Quality Management System (QMS). These are not single tools but ongoing processes and provisions throughout the AI lifecycle. Oak Cover's platform is designed to support both.
The Act requires a continuous, iterative process to identify, analyse, and manage risks to health, safety, and fundamental rights—including intended use and reasonably foreseeable misuse—throughout the AI system's lifecycle.
How we support your RMS:
- Lifecycle risk identification and scoring
- Continuous monitoring and change detection
- Deployment and post-market risk visibility
- Actionable risk recommendations
Providers must establish and maintain a quality management system. Conformity assessment can be based on evaluation of the QMS alongside technical documentation (Annex VII).
How we support your QMS:
- Structured documentation and controls
- Governance mapping and traceability
- Record-keeping and audit trails
- Evidence packs for certification and insurance
Platform Capabilities
The building blocks of your Risk Management System and Quality Management System
How It Works
Build your RMS and QMS in practice: register systems, run continuous risk management, maintain quality documentation, and keep evidence ready for certification and insurance.
Register Your AI Systems
Create your account and register your AI systems—models, deployments, data sources, and tools. The platform captures structured metadata that supports both risk management (RMS) and quality documentation (QMS).
Run Continuous Risk Management
Our risk engine analyses your AI portfolio and generates a risk score that updates over the lifecycle. Identify which systems present the most risk and get actionable recommendations—supporting the iterative risk management process required by the EU AI Act (Article 9).
Document Controls & Governance
Add your governance controls, map them to compliance frameworks (including the EU AI Act), and demonstrate your quality management practices. This supports your QMS (Article 17) and can improve certification and insurance terms.
Continuous Monitoring & Evidence
Keep your AI inventory and risk picture up to date. The platform tracks changes and alerts you to risk profile shifts. Maintain record-keeping and evidence so your RMS and QMS are audit-ready and your submission pack is ready for certification and insurance.
Seamless Integrations
Connect with your existing development and data infrastructure to automatically track risk factors, monitor changes, and provide real-time insights—no manual data entry required.
Automatic Risk Tracking
Our platform connects directly to your version control systems and data catalogs to automatically identify and track risk factors without requiring manual updates or configuration.
Real-Time Monitoring
Changes in your codebase and data are automatically detected and reflected in your risk score.
Full Traceability
Link models to their source code, training data, and deployments for complete audit trails.
Risky Data Detection
Automatically identify when PII, financial data, or other sensitive information is added to training datasets.
Connect Your Tools
Link your GitHub, GitLab, or Bitbucket repositories and data catalogs with a few clicks.
Automatic Discovery
Our platform automatically discovers your models, deployments, and training data sources.
Continuous Monitoring
We continuously monitor changes and update your risk score in real-time.
Version Control
Connect your code repositories to automatically track deployments, test runs, and code changes that impact your AI risk profile.
- Link models to repository branches
- Track deployment commits
- Monitor test run commits
- View commit history and changes
- Monitor CI/CD pipeline runs
- Track release deployments
- Link models to GitLab projects
- View merge requests and changes
- Link deployments to code changes
- Track commit history
- Monitor branch merges
- View pull request changes
Data Catalogs
Connect to your data catalog to automatically detect risky data additions, track data lineage, and monitor training data changes.
- Track training data versions and schema changes
- Detect PII, financial, and health data additions
- Monitor data refresh schedules
- Link models to their training datasets
- Monitor data lineage and dependencies
- Track metadata and schema changes
- Identify data sources and transformations
- Link training data to upstream sources
Why Use Our Platform?
A single place to operate your Risk Management System and Quality Management System—with evidence ready for the EU AI Act, certification, and insurance.
Proactive Risk Management
Identify and address risks before they become costly claims. Support the continuous, iterative RMS process expected under the EU AI Act (Article 9).
Streamlined Certification & Insurance
When you are ready for coverage, your AI inventory, risk data, and QMS documentation are ready. No lengthy questionnaires — just export your submission pack.
Better Understanding of Your Risk
Get clear visibility into which AI systems and use cases present the most risk, helping you prioritise improvements and meet RMS obligations.
Faster Claims Processing
Continuous monitoring and documented controls mean your RMS and QMS are audit-ready. Claims processing can be faster and smoother when evidence is in one place.