Gennaro Brooks-Church launches Cazimir platform to streamline insurance underwriting

Cazimir is an AI platform capturing veteran underwriting expertise for insurance carriers. It launches as nearly half the workforce is expected to retire within 15 years.

Categorized in: AI News Insurance
Published on: Jul 13, 2026
Gennaro Brooks-Church launches Cazimir platform to streamline insurance underwriting

Gennaro Brooks-Church has launched Cazimir, an AI platform that helps MGAs, wholesale brokers, and insurance carriers process submissions faster and capture the expertise of veteran underwriters. The launch comes as the industry faces a wave of retirements that threatens to drain decades of underwriting knowledge.

Nearly half of the insurance workforce is expected to retire within the next 15 years, according to the company. Those departures will take with them the judgment and institutional knowledge that experienced underwriters rely on to assess risk. At the same time, underwriting teams are handling larger workloads, often slowed by repetitive document reviews, manual data entry, and extraction errors.

How the platform preserves underwriting expertise

"Insurance teams are being asked to do more with fewer experienced people," said Gennaro Brooks-Church, Founder and CEO of Cazimir. "Our goal with Cazimir is to build technology that captures the knowledge these professionals have built over decades, so that expertise isn't lost when they leave the workforce."

Cazimir functions as a learning insurance operations platform. Every submission it processes-including corrections and validations made by underwriting teams-trains the system to improve accuracy on future submissions. The company said this approach allows processing to become faster and more precise over time, rather than staying fixed at a single performance level. Techniques like these are part of the curriculum in AI for Insurance Courses, which cover underwriting, claims, and policy automation.

Document handling and audit trail

The platform handles ACORD forms, Statements of Values (SOVs), loss runs, and other documents regardless of formatting differences. It classifies incoming files, extracts relevant data, and flags gaps or inconsistencies. Each extracted data point links back to its source document and page, giving underwriters a clear audit trail rather than a black-box output.

"We built Cazimir because most AI tools in this space extract data, but they don't build knowledge," Brooks-Church added. "We wanted to create something that becomes more valuable to an organization the longer it's used, not something that stays static or degrades over time."

Quick deployment for busy teams

Cazimir is designed for MGAs, wholesale brokers, and carriers, including those operating in complex markets such as Lloyd's and the London Market. The company says onboarding can configure the platform to a client's specific brokers, formats, and internal schema within days rather than months. Founder-led onboarding sessions are offered to a limited number of new teams each quarter, with a hands-on setup process that avoids lengthy IT projects.

Why this matters for insurance professionals

For underwriters and brokers, the platform reduces time spent on manual data tasks and makes submissions more complete before they reach carriers. MGAs can scale premium volume without adding headcount, and the audit trail supports regulatory reporting. The system's learning loop means that the longer a team uses it, the more it adapts to their specific workflows and risk appetite.


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