From disconnected models to runtime-governed insurance execution
Most insurers already run models in underwriting, claims, and fraud. Few can operate them continuously across the enterprise.
AI Now:
Drives underwriting and pricing decisions in real time
Operates inside claims and servicing workflows
Interacts with policyholders, agents, and adjusters
Must be governed during execution, not after deployment
It is not about building Insurance AI. It is about running it as a system across the enterprise.
Where insurance AI breaks without a governed operating system
Underwriting, claims, and fraud models operate in silos
Governance exists as oversight instead of execution control
Regulatory pressure increases audit and model risk exposure
Each new use case introduces new tooling, vendors, and operational complexity
Build unlimited Insurance AI and Agentic AI use cases. Scale without new stacks or vendors.
Runtime-governed underwriting and risk intelligence
Deploy underwriting models with controlled decisioning and continuous monitoring.
- Risk scoring and pricing intelligence
- Submission and document analysis
- Controlled model rollout and monitoring
Claims execution with policy-aware automation
Operate FNOL, triage, and adjudication with accountable AI workflows.
- Claims severity prediction
- Case prioritization
- Adjuster workflow support
Fraud detection operating inside the claims lifecycle
Identify anomalies across policy and claims workflows with traceable decisioning.
- Behavioral and network anomaly detection
- Fraud triage acceleration
- Investigation support
Agentic copilots operating within policy and compliance boundaries
Assist underwriters, adjusters, and operations teams with governed autonomy.
- Underwriter decision assist
- Claims adjuster copilots
- Compliance-aligned operations support
Enterprise knowledge systems governed at execution
Enable internal GenAI systems with controlled access and runtime governance.
- Role-based knowledge retrieval
- Traceable citations
- Tool usage governed at runtime
More insurance workflows on the AI Operating System
01
Policy servicing automation
02
Agent productivity and distribution insights
03
Renewal and retention intelligence
04
Model risk management and governance workflows
01
Policy servicing automation
02
Agent productivity and distribution insights
03
Renewal and retention intelligence
04
Model risk management and governance workflows
Kernel-governed execution across underwriting, claims, and operations
Policies execute inside workflows, not outside them.
- Governance-as-code at runtime
- Policy enforcement across models, agents, and workflows
- Auditability, traceability, and reversibility embedded into execution
Tailor-made for regulated insurance environments
Designed for compliance-driven, risk-sensitive operations.
Infosys Finacle’s Open Source Services Partner FY25
InsurTech of the Year 2025
Supports governance, audit, and regulatory workflows across underwriting, claims, and servicing.
Scale insurance AI and Agentic AI easily – No governance gaps, vendor lock in, or cost sprawl
01
Run underwriting, claims, fraud, and servicing as one governed system
02
Reduce operational friction in deploying and managing models
03
Scale use cases without multiplying infrastructure and vendors
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Strengthen audit readiness and execution accountability
05
Transition from fragmented adoption to enterprise AI operations
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Demo
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