Scale GWP Without Scaling Headcount
Tech-enabled MGAs are winning market share because they move faster. Cazimir gives you the operational intelligence to process more submissions, quote faster, and prove superior risk selection to capacity partners — without proportional staff growth.
The MGA Problem
You’re growing. Submission volume is up. Capacity partners expect speed and accuracy. But every new submission still requires the same manual work: sorting documents, extracting data from inconsistent formats, chasing missing information, re-keying data into your systems.
The math is simple: if processing each submission takes the same amount of time regardless of how many you’ve done before, growth requires linear headcount increases. That kills your expense ratio and erodes the operational advantage that makes MGAs attractive in the first place.
How Cazimir Changes the Math
Cazimir breaks the linear relationship between submission volume and headcount.
Week 1: Your team processes submissions with AI-assisted extraction, correcting where needed. Processing time drops immediately.
Month 1: The platform has learned your broker patterns, your formatting preferences, your review standards. Accuracy is improving. Corrections are declining.
Month 6: Submissions from familiar brokers process with minimal human intervention. Your team focuses on risk decisions, not data entry. You’re processing 3x the volume with the same team.
What This Means for Your Business
Faster Quotes: Structured underwriting data is available for review minutes after submission — not hours. Quote faster than carriers with legacy intake processes.
Better Risk Selection: When your team spends less time on data gathering, they spend more time on risk analysis. Better decisions. Better loss ratios. Happier capacity partners.
Scalable Operations: Add new programs and lines of business without proportional ops hiring. Your operational intelligence scales with the platform, not with headcount.
Provable Performance: Accuracy analytics and processing metrics give you hard data to show capacity partners that your operations are consistent, fast, and improving over time.
Built for How MGAs Actually Work
- Handles the messy, inconsistent submissions that brokers actually send (not just clean ACORD forms)
- Normalizes SOVs from dozens of different broker formats into your consistent schema
- Flags missing information before your team has to chase it
- Detects inconsistencies across documents so nothing slips through
- Evidence-linked extraction for E&O defensibility
Processing More Submissions Shouldn’t Require More People
We’re working with a small number of MGAs in our pilot program. If you’re processing commercial property submissions and want to test whether a learning system outperforms your current workflow, let’s talk.