Go beyond compliance to speed up AI adoption
Product teams within large organizations develop AI models to deliver business value. Group governance, risk, and validation teams must understand and control the associated risks. Calvin's AI model inventory enables organizations to gain the overview, align stakeholders, increase accountability, and accelerate decision making. This allows the business to comply with regulations, prevent incidents, shorten time-to-market, and create trustworthy AI as expected by customers.
- Obtain an overview of AI models before and after deployment
- Improve AI performance and reduce risk exposure or losses
- Prepare for internal and external audits
Onboard models into a dedicated AI inventory with integrated quality assessments
Explore Governance Inventory features
Business Use Case Inventory
Enter use case information and governance data including the EU AI risk level assessment.
Risk Inventory
Define use case specific risk causes and effects, which impact the weighting of model risk scores and use case severity.
Additional Resources
FAQ
How can Calvin Risk help me monitor my AI models before and after deployment?
Calvin Risk's Model Inventory feature allows youto capture detailed information about AI models, including their use cases, deployment status, ownership, and governance data. This comprehensive overview helps you understand the landscape of your AI models, both in development and in production, ensuring transparency and control.
Can Calvin Risk assist me in preparing for internal and external audits?
Our platform facilitates audit readiness by capturing comprehensive governance information related to AI models and use cases. You can easily access assessment logs, configuration details, and customization options, providing auditors with the necessary insights and documentation for compliance checks.
How does Calvin Risk accelerate decision-making processes within organizations?
We accelerate decision making by reducing uncertainty and making the decisiondata-driven/based on KPIs.
What defines a trustworthy AI model?
Trustworthy AI refers to systems that are designed and deployed in a reliable, ethical, and transparent manner. Trustworthy AI adheres to guidelines and practices that build confidence in AI solutions, ensuring they meet customer and regulatory expectations for responsible and dependable technology.
A model inventory is a detailed list of all AI models the organization is developing or has deployed, focusing on the technical aspects such as training data, performance metrics, and version history. In contrast, a business use case inventory is a catalogue of the business applications, compliance material, and governance processes related to these AI models.
How can Calvin Risk help me create trustworthy AI?
Our platform enables you to capture and assess AI risk levels, ownership details, and other governance data, ensuring transparency and accountability in AI development. By fostering trust through responsible AI practices, you can meet customer expectations for ethical and reliable AI solutions.
