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
*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
Multi-format ingestion agent
Extracted structured submission data from ACORD forms, spreadsheets, PDFs and emails — validated against Guidewire schemas before hitting the underwriter queue.
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.
Underwriter workbench
Underwriters opened a fully-populated submission with hazard analysis and comparable pricing — freed to focus on judgment, not data entry.
Broker experience layer
Brokers got an acknowledged-in-5-minutes SLA and a status portal — no more black-box submissions.
Decision-trail audit
Every appetite call, extraction and pricing input logged and replayable for internal audit and reinsurance reviews.
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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