Gennaro Brooks-Church Lists 5 Ways AI Helps Insurance Teams




Gennaro Brooks-Church is the Founder and CEO of Cazimir, an AI-powered underwriting platform built for MGAs, wholesale brokers, and insurance carriers. He leads the development of AI solutions designed to transform how insurance organizations manage submission intake, data extraction, and underwriting workflows. Based on his experience, Gennaro Brooks-Church shares 5 simple ways AI is making a difference for insurance teams today.

1. Faster Submission Reviews

Insurance teams deal with a lot of paperwork, including ACORD forms, SOVs, and loss runs. Gennaro Brooks-Church notes that AI can read and organize these documents quickly, saving underwriters from spending hours on manual data entry. This allows teams to move through submissions much faster.

2. Fewer Repeated Mistakes

Manual entry often leads to small errors that repeat over time. Gennaro Brooks-Church explains that AI systems can learn from past corrections, helping teams avoid making the same mistakes again. This leads to cleaner, more reliable data across the board.

3. Preserving Valuable Knowledge

As experienced underwriters retire, their knowledge often leaves with them. Gennaro Brooks-Church believes AI can help capture this expertise by learning from real underwriting decisions. This way, valuable knowledge stays within the organization instead of being lost.

4. Clearer Data For Better Decisions

Good decisions need clear information. Gennaro Brooks-Church points out that AI can organize scattered documents into simple, structured data. This makes it easier for underwriters to review details and make confident decisions without digging through multiple files.

5. Supporting, Not Replacing, Underwriters

Gennaro Brooks-Church is clear that AI should support underwriters, not take over their role. The goal is to handle repetitive tasks so professionals can focus on the judgment calls that truly require human expertise.

Final Thoughts

Gennaro Brooks-Church believes AI works best when it complements human expertise rather than replacing it. By focusing on practical improvements like faster reviews, fewer errors, and better data organization, insurance teams can work more efficiently while still relying on the knowledge and judgment that only experienced professionals can provide.
Location: New York, NY, USA

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