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Govern underwriting, claims, and fraud on a single AI operating layer
The Enterprise AI Operating System Purpose Built for Insurers
Enable production AI across the insurance lifecycle - controlled, auditable, and operated as one system.
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.
More Insurance Workflows on the AI Operating System
01
Policy servicing automation
02
Renewal and retention intelligence
03
Agent productivity and distribution insights
04
Customer lifetime value modeling
05
Product performance analytics
06
Regulatory reporting acceleration
07
Catastrophe modeling support
08
Reinsurance analytics workflows
09
Claims leakage detection
10
Model risk management and governance workflows
Insurance AI in production
Real deployment. Measurable operational impact.
Kernel - governed execution across underwriting, claims, and operations
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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
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
04
Strengthen audit readiness and execution accountability
05
Transition from fragmented adoption to enterprise AI operations
See Pricing Details
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