On-Demand Underwriting Score: 4.25/5.0

Submission Ingestion & Underwriting Spreading

On-Demand Knowledge Work | Internal audience

The Problem

Underwriters spend 80% of their time on manual document handling. Broker submissions arrive as messy emails with PDFs (loss runs, financial statements, ACORD forms, Statements of Value). Documents are in multiple formats, sometimes handwritten. Underwriters manually extract risk data, normalize Statements of Value, flag missing documents, construct structured risk profiles in UW guidelines. Process is error-prone: 15-20% of submissions contain data entry errors, missing elements, or misclassified risk factors. Time per submission: 2-4 hours. UW team processes 100-300 submissions/month.

What the Agent Does

Data Requirements

Data Sources:

Data Classification:

Data Quality Requirements:

OCR accuracy: 95%+ for printed documents; 85%+ for handwritten. Loss run extraction: 100% for numeric values. Statement of Value normalization: 100% accuracy (critical for pricing). Missing document identification: 99%+ recall (must catch all missing docs).

Integration Complexity: Medium , Requires email API integration (Outlook, Gmail), PDF extraction/OCR (ABBYY, Tesseract), structured data extraction from loss runs (pattern matching), ACORD form parsing (standardized format), Vertafore/Duck Creek API integration for UW guidelines. OCR for handwritten documents adds complexity.

Score Breakdown

Criterion Weight Score (1-5) Weighted
Time Recaptured 15% 5 0.75
Error Reduction 10% 4 0.40
Cost Avoidance 10% 4 0.40
Strategic Leverage 5% 4 0.20
Data Availability 15% 5 0.75
Process Clarity 15% 4 0.60
Ease of Implementation 10% 4 0.40
Fallback Available 10% 5 0.50
Audience (Int/Ext) 10% 5 0.50
Composite 100% 4.25

Why It Scores Well

Submissions are high-volume and standardized (ACORD forms provide structure). Data is readily available (internal systems + broker emails). Time savings are substantial (4 hours → 15 minutes per submission = 300-600 hours/month savings). Accuracy improvement reduces rework and improves underwriter productivity. Fallback is straightforward: underwriter reviews manually. Internal audience. Clear ROI: reduce underwriting costs, accelerate quote cycle, improve UW decision quality.

Regulatory Alignment

Sprint Factory Fit

Sprint 0 (2 weeks) + 2 build sprints (4 weeks)

Sprint 0: Submission document types taxonomy, ACORD form parsing rules, loss run extraction patterns, UW guideline mapping, email integration planning

Build Sprints 1-2: Email API integration, PDF/OCR pipeline, ACORD parsing, loss run extraction, Statement of Value normalization, missing document flagging, risk profile generation, Vertafore/Duck Creek integration

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