Insurance
Govern underwriting, pricing, and claims AI with fairness you can prove.
Insurers apply AI across underwriting, pricing, fraud detection, and claims. Each model carries fairness, explainability, and conduct obligations — and increasingly draws on external data services that must themselves be governed.
Regulatory drivers
- EU AI Act — high-risk classification for insurance pricing and risk assessment
- Fairness, anti-discrimination, and conduct expectations for automated decisions
- GDPR for personal data and automated decision-making
- NIST AI RMF and ISO/IEC 42001 for model assurance
The governance challenge
Actuarial and data-science teams ship pricing and claims models quickly, but fairness reviews, data-lineage checks, and conduct sign-off live outside the model lifecycle — so regulators' questions about how a rate was set are hard to answer with a complete, traceable record.
How it works in practice
An insurer launches an AI claims-triage agent that scores severity and routes external enrichment data through an MCP server. AIXYRA registers the model, the data sources, and the MCP server; the checkgate blocks the agent until fairness and data-use reviews pass; and the architecture graph plus audit reports give the conduct team a defensible, end-to-end account of every pricing and routing decision.
Illustrative scenario. AIXYRA does not imply any specific customer engagement.
Outcomes for Insurance
The AIXYRA capabilities behind this solution
AI Model Catalog
Catalog AI models across providers with provenance tracking, version management, and automated governance approval ensuring models meet compliance requirements.
Configurable Governance Checkgates
Configurable governance checkgates that adapt approval requirements to your organization's risk appetite and regulatory obligations.
Compliance Frameworks
Map AI systems against EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, and custom frameworks with automated assessments and audit-ready evidence.
MCP Server Registry
Govern Model Context Protocol servers with approval workflows purpose-built for the agentic AI era, ensuring MCP tools meet security and compliance standards.
Audit Reports
Generate compliance documentation and audit evidence on demand, demonstrating governance posture to regulators, auditors, and executive stakeholders.
Architecture Dependency Graphs
Interactive 6-layer dependency visualization showing relationships between agents, models, tools, data sources, platforms, and services for complete traceability.