Agentic Underwriting by Ippon
Cut Underwriting Cycle Time by 60–90% with Multi-Agent AI.
Document ingestion & classification
Automatically detects and ingests submissions from email and broker portals. Classifies ACORD forms, loss runs, and carrier-specific documents using Textract and Bedrock -- in minutes, not hours.
Data extraction & third-party enrichment
Extracts structured fields from 15+ document types and calls LexisNexis, Verisk, CAPE Analytics, MIB, and Rx databases automatically -- without underwriter intervention.
Risk scoring & eligibility screening
LLM agents reason over carrier underwriting guidelines via RAG to screen appetite, classify risk tier, and score each submission with a full audit trail and explainability.
Decision routing & referral queue
Auto-approves, declines, or routes to human review with structured rationale. Risk-tiered autonomy satisfies insurance regulatory requirements for oversight on complex cases.
S/M/L package framework defined
Small, Medium, and Large delivery scopes finalized across 12 underwriting workflow steps -- from intake through bind and post-bind audit. POC scope covers steps 1-5 for a single line of business.
Multi-agent architecture validated
Intake Agent, Risk Scoring Agent, Compliance Agent, and Decision Agent orchestration pattern validated on Bedrock Agents and Step Functions. Human-in-the-loop referral queue confirmed.
Market research & validation complete
WTW AI survey, EXL/Bedrock case studies, and competitive marketplace analysis complete. 16% adoption gap confirmed -- mid-market carriers structurally underserved by existing tooling.