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Calvin Risk Platform
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Quality Assessment and Automation (QAA)
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Severity Assessment

Understand the business impact of AI model incidents

Determine the estimated losses and value at risk for each business use case and for the AI model portfolio.

Estimate financial risk

Provide Profit & Loss data and choose if the desired business outcome is to increase revenue, optimize resources, or mitigate loss to determine the expected financial risk.

Estimate losses due to business case disruption, legal costs, and reputational damage

Specify setup cost, expected revenue, and other parameters to calculate these loss types in case of an incident.

Determine value at risk

Calculate value at risk as a worst case scenario, defined as the 95th percentile of the loss distribution around the expected loss.

Related Features

Quality Metrics

Save precious validation time by calculating a rich set of metrics with a single button click and investigate the main risk contributions to the aggregate score.

Learn more

Risk Frequency Assessment

Report the aggregated annual risk frequency in 6 dimensions, which enables historical comparisons and calculation of the total estimated loss and value at risk.

Learn more

Additional Resources

Video

Navigating the Frontier of AI Machine Learning Risks and Resilience
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Blog: Calvin's AI Risk Management Framework

Calvin's AI Risk Management Framework

Blog: AI Risk Management in the DACH region

AI Risk Management in the DACH region: Overviews and Trends for AI in 2024

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Managing the risks of your AI algorithms since 2022.

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