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Case study · Insurance · Agentic AI

34% underwriting cycle-time reduction at a commercial insurer — agentic submissions triage

A top-15 commercial insurer's underwriters spent 60% of their day sorting broker submissions instead of pricing risk. pronix.ai deployed an agentic submissions triage workflow with appetite-fit scoring — cycle time down 34%, underwriter throughput up 2.1x and every decision traceable to a broker-visible reason.

Client
Top-15 US commercial insurer, mid-market segment
Industry
Insurance
Platform
Guidewire PolicyCenter · AWS Bedrock · Salesforce Financial Services Cloud
By pronix.ai Strategy Practice8 min readQ1 2026
-34%
Underwriting cycle time
2.1x
Underwriter throughput
+19%
Broker-preferred quote rate
-62%
Past-SLA quotes

*Representative outcome; results vary by client, scope and platform configuration.

The challenge

Brokers sent submissions as email attachments in a dozen formats. Underwriters spent hours on data entry and appetite checks before any risk work started, and 28% of quotes went out past broker SLA.

Our approach

Step 01

Multi-format ingestion agent

Extracted structured submission data from ACORD forms, spreadsheets, PDFs and emails — validated against Guidewire schemas before hitting the underwriter queue.

Step 02

Appetite-fit scoring

Codified the appetite guide as decision rules the agent evaluated up-front — clear-decline routed with a broker-friendly reason in minutes.

Step 03

Underwriter workbench

Underwriters opened a fully-populated submission with hazard analysis and comparable pricing — freed to focus on judgment, not data entry.

Step 04

Broker experience layer

Brokers got an acknowledged-in-5-minutes SLA and a status portal — no more black-box submissions.

Step 05

Decision-trail audit

Every appetite call, extraction and pricing input logged and replayable for internal audit and reinsurance reviews.

For Chief Underwriting OfficerFor Head of Commercial LinesFor CIO

Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.

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