Controlling AI across insurance operations.
From claims automation to underwriting and customer interaction, AI systems must be reliable, auditable, and aligned with regulatory expectations.
Insurance AI systems are uniquely exposed to compounding financial and regulatory risk due to decision automation at scale.
AI is becoming deeply embedded across insurance workflows, from claims processing to underwriting and customer service. These systems directly influence financial outcomes, regulatory compliance, and customer trust. As a result, even small inconsistencies or errors can have material impact.
Calvin surfaces risk the moment it appears.
Risk Register - Banking
Monitored
Model instability in credit & risk decisions
Lack of transparency and explainability
Regulatory pressure and audit requirements
Errors in document processing (KYC, onboarding)
Uncontrolled GenAI outputs
The old playbook can't keep up
Models pass validation, then drift the moment conditions change.
Where control makes the difference.
Claims automation
- Incorrect approvals or rejections
- Lack of explainability
- Financial and compliance exposure
Consistent, auditable, and defensible decisions
Document processing
- Sensitivity to layout and format changes
- Missing or incorrect information
- Downstream process failures
Reliable, robust document handling
Underwriting & risk models
- Instability across edge cases
- Hidden bias
- Limited transparency
Measurable and controlled decision-making
GenAI applications
- Hallucinations
- Inconsistent responses
- Regulatory concerns
Predictable, safe, and compliant outputs
From system behavior to continuous control.
Test real-world scenarios
Simulate claims, documents, and customer interactions across edge cases.
Evaluate system behavior
Measure consistency, accuracy, fairness, and robustness.
Govern continuously
Ensure decisions remain auditable and compliant over time.
What control delivers in insurance.
Reduced claim error rates
Improved auditability and compliance readiness
Lower manual review effort
Faster and safer deployment of AI systems
Ready to assure your AI systems? Learn how your systems behave and make them trustworthy by design.
Data & analytics
Ship systems that behave reliably
Risk & compliance
Establish continuous, defensible oversight
Business leaders
Scale AI without hidden risk