How Gennaro Brooks-Church Is Simplifying Insurance Workflows With AI

Gennaro Brooks-Church, Founder and CEO of Cazimir and Brooks Energy, has spent his career focused on one persistent challenge in the insurance industry: underwriting teams are being asked to handle growing workloads with fewer experienced professionals available to guide the process. Rather than treating this as an unavoidable pressure, Gennaro Brooks-Church has built his work around solving it directly, developing AI solutions designed to simplify insurance workflows while preserving the expertise that quality underwriting depends on.

The Problem With Manual Underwriting Work

Insurance underwriting has always involved a lot of moving parts. Reviewing documents, checking for missing information, verifying data across multiple sources, and making sure everything lines up before a decision can be made. For years, most of this work has fallen on underwriters themselves, often taking up time that could be spent on the judgment calls that actually require experience. Gennaro Brooks-Church, Founder and CEO of Cazimir and Brooks Energy, has spent his career trying to change that.

Removing Friction, Not Judgment

Gennaro Brooks-Church believes that a lot of the friction in insurance workflows comes from repetitive, manual tasks that do not actually require human judgment, things like classifying documents, extracting data points, or checking for inconsistencies across a submission. His approach has been to build AI that takes on these repetitive tasks directly, so underwriters can spend more of their time on the decisions that matter most.

Systems That Learn, Not Just Automate

What makes his approach different is that the technology is not built around fixed, one-size-fits-all rules. Instead, Gennaro Brooks-Church has focused on learning-based systems that improve with use. Every submission processed, along with any corrections made by underwriting teams, helps the system become more accurate over time. This means the technology does not stay static, it becomes more aligned with an organization's specific processes the longer it is used.

Keeping Workflows Transparent

Gennaro Brooks-Church has also made it a priority to keep these workflows transparent. Rather than asking underwriters to simply trust an output, his systems are designed to trace every extracted piece of data back to its original source. This gives teams a clear way to verify information instead of relying on hidden assumptions, which matters just as much for day-to-day decisions as it does for regulatory reporting.

Faster Implementation, Fewer Delays

Another part of simplifying insurance workflows, according to Gennaro Brooks-Church, is reducing how long it takes to actually start seeing value from new technology. Many AI tools require long implementation timelines and heavy IT involvement before teams can use them. Gennaro Brooks-Church has taken a different approach, working directly with organizations to configure systems around their specific brokers, formats, and internal processes within days rather than months.

Efficiency Without Losing Accuracy

This focus on simplification is not just about speed. Gennaro Brooks-Church has been clear that the goal is to help underwriting teams operate more efficiently without losing the accuracy and judgment that quality underwriting depends on. For MGAs, wholesale brokers, and carriers dealing with growing workloads and shrinking teams of experienced underwriters, this kind of support can make a meaningful difference in how much a team can handle without sacrificing quality.

A Simple Idea Behind the Work

At the center of everything Gennaro Brooks-Church builds is a simple idea: technology should make good work easier, not replace the people doing it. By focusing on removing friction rather than removing judgment, he continues to help insurance organizations simplify their workflows while holding onto the expertise that has always driven quality underwriting.