Case studies

Insurance

Insurance – Specialty Lines MGA: Underwriting Workbench & Submission AI

Timeline: Build: 10 weeks. Deploy: specialty line pilot. Optimization: 8 weeks pricing graph.

Business overview

Industry: specialty MGA. Complexity: non-standard risks.

Common pain points

Manual reading, slow quotes, inconsistent pricing.

Full AI automation system (PrimeAxiom solution)

Submission Agent, Loss Run Agent, Pricing Agent, Referral Agent.

Automation workflow (detailed system flow)

1. Broker upload.
2. AI extracts exposures.
3. Loss history structured.
4. Pricing comps.
5. UW review.
6. Carrier packet.
7. Feedback improves extraction.

AI agents & logic

Extract Agent, Compare Agent, Package Agent.

Technical architecture

RAG over loss runs, LLM with numeric validation, secure vault.

Tools & integrations

Salesforce, document vault, PostgreSQL, OpenAI, actuarial data feeds

Results

Quote cycle time −43%; underwriter capacity +31%; referral acceptance +18%; leakage from mispricing −27%.

Timeline

Build: 10 weeks. Deploy: specialty line pilot. Optimization: 8 weeks pricing graph.