Flarre is an insurance-native Agentic AI platform designed to accelerate the entire Software Development Lifecycle (SDLC) for insurance systems. Backed by deep insurance domain knowledge and powered by specialized AI agents across analysis, development, testing, and custom workflows, Flarre reduces delivery effort, ensures compliance, and drives measurable business growth.
Why Flarre?
Unlike generic AI assistants, Flarre is built specifically on real insurance experience. It possesses a deep, hands-on understanding of core insurance systems, schemas, and workflows, including:
- Policy Lifecycle Management (New Business, Endorsements, Renewals, Cancellations)
- Claims Operations (FNOL, Adjudication, Payments, Fraud Detection)
- Billing & Rating Engines (Premium Calculation, Invoicing, Collection Schedules)
- Reinsurance & Party Management (Treaties, Facultative placement, Producer hierarchies)
Agentic SDLC Ecosystem
Flarre provides a complete, role-aware agent ecosystem tailored for the insurance SDLC:
📊 Foundational AI Agents
- Requirements Agent (BA Agent)
- What it does: Structures business requirements, BRDs, user stories, and acceptance criteria for insurance products.
- Architecture Agent
- What it does: Designs system architecture, database data models, API contracts, and integration patterns.
- Business Design Agent
- What it does: Aligns operating models, product strategies, distribution, and regulatory compliance (e.g., NAIC, IRDAI).
- Development Agent
- What it does: Implements insurance product configurations, rating engines, workflow rules, and core integrations.
- Quality Agent
- What it does: Validates insurance logic, compliance, test coverage, and maintains end-to-end traceability.
- Deployment Agent
- What it does: Manages CI/CD pipelines, environment promotion, data migration, and production system monitoring.
The Flarre Knowledge Graph
Flarre connects Policy, Claims, Billing, and system intelligence into a single, live layer of understanding.
Live Impact Analysis Example
- User Question: "What is the downstream impact of adding an Accidental Death Rider to the existing Term Life product on Claims workflows, Billing rules, and regulatory filing obligations?"
- Flarre Knowledge Graph Answer:
- Policy Layer Impact: Rider appended to Term Life with separate sum insured. Mid-term addition requires an endorsement workflow.
- Billing & Premium Engine: New rating factor row required for AD loading. Billing schedule must reflect combined base + rider. 2 billing rule conflicts detected.
- Claims Workflow Changes: FNOL intake requires new claim type "Accidental Death". 3 existing FNOL workflows affected.
Key Features
- Unified Insurance Context: Connects Policy, Claims, Billing, and systems in one single view.
- Live Dependency Mapping: Tracks real-time relationships across services, APIs, and workflows.
- End-to-End Traceability: Links requirements, code, tests, and deployments.
- Impact Awareness: Predicts downstream effects before any system change is made.
- Multi-Source Context Ingestion: Integrates data from documents, code, APIs, tests, and logs.
- ACORD & ISO Compliance: Code and artifacts are generated to ACORD standards and are ISO clause-aware.
Enterprise Deployment
Flarre deploys seamlessly inside your existing insurance platform with zero disruption and full domain context.
- Insurance Platform Native: Flarre agents operate inside your existing insurance platform—no rip-and-replace required.
- Secure & Compliant: Operates within your secure tenant (DEV, SIT, UAT) with MFA-secured access via Entra ID. No PII is stored.
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