Multi-Agent Underwriting Workflow System
Orchestrates **12 specialized agents** with advanced agentic capabilities: **autonomous decision-making**, **self-correction mechanisms**, and **inter-agent collaboration**. Completes comprehensive underwriting within **30-second SLA** with full explainability.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Underwriting Platform Overview
Application Review Interface
Agent Processing Dashboard
Underwriting Decision Output
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Coordinating 12 agents with complex dependencies, parallel execution phases, and SLA constraints requires sophisticated workflow management.
Core Logic
Central workflow coordinator managing 6-phase execution pipeline. Assigns tasks to agents, monitors progress against **30-second SLA**, triggers parallel execution where dependencies allow. Broadcasts status updates and handles error recovery. Implements **circuit breaker pattern** for fault tolerance.
Document Intelligence Agent
Underwriting applications include diverse documents (medical records, employment verification, financial statements) requiring intelligent extraction and validation.
Core Logic
Applies **OCR and NLP** to extract structured data from application documents. Validates document completeness and authenticity. Cross-references extracted data with application form entries. Flags discrepancies for review. Supports multi-format ingestion (PDF, images, scanned documents).
Identity Verification Agent
KYC/AML compliance requires robust identity verification to prevent application fraud and meet regulatory requirements.
Core Logic
Performs comprehensive **KYC/AML verification** through identity database queries. Validates government ID documents. Runs sanctions list screening. Calculates identity confidence score. Flags high-risk applicants requiring enhanced due diligence. Integrates with third-party identity verification services.
Eligibility Assessment Agent
Policy eligibility rules vary by product, jurisdiction, and applicant characteristics. Manual eligibility checking is inconsistent and error-prone.
Core Logic
Implements **rules engine** evaluating applicant eligibility against product-specific criteria. Checks age limits, residency requirements, occupation restrictions, and coverage limits. Validates against underwriting guidelines. Returns eligibility decision with detailed rule evaluation trace.
Compliance & AML Agent
Insurance applications must pass AML screening and comply with regulatory requirements across multiple jurisdictions.
Core Logic
Executes **AML/CFT screening** against global watchlists and sanctions databases. Evaluates source of funds for high-value applications. Checks PEP (Politically Exposed Person) status. Validates regulatory compliance by jurisdiction. Generates compliance attestation for audit trail.
Medical Underwriting Agent
Evaluating medical history for life and health insurance requires domain expertise to assess mortality/morbidity risk factors.
Core Logic
Analyzes medical questionnaire responses and records. Evaluates pre-existing conditions, family history, and lifestyle factors. Applies **actuarial mortality/morbidity tables**. Calculates medical risk loading factors. Identifies exclusion requirements. Collaborates with Claims History Analyzer for prior claim patterns.
Risk Assessment Agent
Aggregating multiple risk factors (medical, financial, behavioral) into unified risk classification requires sophisticated multi-factor modeling.
Core Logic
Synthesizes findings from Medical, Compliance, and Eligibility agents. Applies **multi-factor risk model** with weighted inputs. Calculates overall risk score and classification (preferred, standard, substandard, decline). Generates risk factor breakdown with contribution weights for explainability.
Pricing Agent
Premium calculation must reflect individual risk while remaining competitive. Manual pricing lacks consistency and optimization.
Core Logic
Calculates base premium from **actuarial pricing tables**. Applies risk-based adjustments from Risk Assessment agent. Incorporates medical loadings, occupational ratings, and lifestyle factors. Optimizes for competitive positioning. Generates premium breakdown showing all adjustment factors.
Decision Agent
Final underwriting decisions require synthesis of all agent findings with consistent application of underwriting authority limits.
Core Logic
Aggregates all agent outputs into final recommendation. Applies **underwriting authority matrix** for decision routing. Implements **autonomous decision-making** for clear-cut cases within authority limits. Features **self-correction mechanism** to validate decisions before finalization. Outputs: approve, decline, refer, require_info, add_condition.
Claims History Analyzer Agent
Prior claims history is a strong predictor of future claims. Accessing and analyzing historical claims data requires integration with legacy systems.
Core Logic
Queries **claims databases** for applicant's prior claim history across insurers (where accessible). Analyzes claim frequency, severity patterns, and fraud indicators. Calculates claims experience rating. Shares findings with Medical Underwriting agent through **inter-agent collaboration protocol** for enriched risk assessment.
External Data Enrichment Agent
Application data alone may be insufficient for accurate risk assessment. External data sources provide additional signals but require integration.
Core Logic
Integrates with **third-party data providers**: credit bureaus (credit score, payment history), employment verification services, motor vehicle records, prescription databases (where permitted). Enriches application data with external signals. Validates applicant-provided information against authoritative sources.
Behavioral Analytics Agent
Application behavior patterns (time to complete, field corrections, device signals) contain fraud and risk signals invisible in submitted data.
Core Logic
Analyzes **applicant behavioral signals** during application process: session duration, field correction patterns, device fingerprinting, geolocation consistency. Applies **behavioral scoring model** to identify anomalies. Flags high-risk behavioral patterns for enhanced review. Contributes to fraud prevention scoring.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
4 technologies
Architecture Diagram
System flow visualization