POC: Multi-Policy Underwriting with AI-Powered Document Intelligence

Sharing a POC I developed that demonstrates an intelligent multi-policy underwriting system with automated document classification and requirements tracking.


The Challenge

Traditional underwriting systems process one policy at a time, requiring manual document verification and repetitive data entry. When a customer applies for multiple policies (Life, DI) with single or joint insureds, the complexity multiplies:

  • Agents manually track which documents are needed for which policy
  • Document classification is error-prone and time-consuming
  • Field amendments require back-and-forth communication
  • Decision-making across multiple policies lacks coordination

The Solution

Built a unified underwriting orchestration system that handles the complete lifecycle from application intake to policy issuance, with intelligent document handling at its core.


How It Works

:one: Application Intake & Case Creation

  • User submits application with case data (supports single/joint insureds, multiple policy types)
  • Documents can be pre-uploaded before case creation
  • Uploaded documents are automatically classified by AIHub (document type + insured detection)
  • Case flows into BPM-orchestrated workflow

:two: Rule Execution & Requirements Generation

  • BPM triggers multiple rule workflows via Reels:
    • Policy-specific underwriting rules (Life, DI)
    • Evidence evaluation
    • Occupation classification
    • Final UW decisioning
  • Rule outputs generate document requirements dynamically
  • All outcomes are stored back to the case for agent visibility

:three: Intelligent Document Reconciliation

  • System automatically extracts required documents from rule outputs
  • Cross-references with DMS to identify already uploaded documents
  • Matching logic uses AI-classified metadata (document type + insured name)
  • Results in clear separation: fulfilled requirements vs pending requirements
  • If documents are missing, BPM automatically triggers NBPR (request additional documents)

:four: Document Upload with AI Classification

  • When user uploads requested documents:
    • AIHub classifies document type and identifies the insured
    • Classification is validated against expected document
    • Mismatch detection provides warnings without blocking (agent can review)
    • Documents are stored in DMS with auto-generated metadata
  • NBPR automatically completes upon successful upload

:five: Agent Workbench (Alpha UI)

  • Agents view cases based on their roles (Reviewer, Underwriter)
  • Full visibility into:
    • Rule outputs and risk factors
    • Document requirements status
    • Case history and audit logs
  • Field modifications are tracked for amendments

:six: Amendment Handling

  • Any field changes are captured and displayed with diff view
  • Agent raises amendment → Customer receives notification
  • Customer signs amendment form
  • System automatically updates case data via API

:seven: Decision & Policy Issuance

  • Underwriter can take decisions on:
    • Individual policies (approve Life, hold DI)
    • Entire case at once
  • Positive decision → Policy document generated and sent to customer
  • If any policy is on hold → Case redirects back to the agent for remaining decisions

Platforms Orchestrated

Platform Role
Alpha Agent UI for case interaction, decisions, amendments
Reels Policy rules execution, evidence evaluation, UW decisioning
AIHub Document classification, Summary management
BPM (JBPM) End-to-end workflow orchestration, event-driven signals
DMS Document storage with metadata
SSD Backend services and API layer
Trinity Deployment

Key Outcomes Demonstrated

:white_check_mark: Multi-policy support – Single case handles Life, DI, and future policy types

:white_check_mark: Joint insured handling – Separate document tracking per insured with AI-powered name matching

:white_check_mark: Automated document intelligence – AIHub classifies documents and validates against requirements

:white_check_mark: Dynamic requirements – Rule outputs drive document needs, no hardcoding

:white_check_mark: Event-driven workflow – BPM automatically triggers NBPR, reassignments, and completions

:white_check_mark: Flexible decisioning – Per-policy or full-case decisions with hold/redirect support

:white_check_mark: Amendment automation – Field changes tracked, customer signature captured, auto-updated


This POC demonstrates how our platform ecosystem can be composed into a cohesive, intelligent underwriting journey that handles real-world complexity while minimizing manual intervention.

Happy to walk through the architecture or discuss potential extensions!