Founder, Cazimir & Brooks Energy

Underwriting expertise doesn't have to disappear. It can be taught to a system.

Gennaro Brooks-Church designs AI that learns the way underwriters do, one submission, one correction, one decision at a time, so insurers keep the judgment that took decades to build.

Read His Approach Start a Conversation

About

Gennaro Brooks-Church is the Founder of Cazimir and Brooks Energy, where he builds AI systems designed to transform how insurance organizations approach underwriting. His work centers on helping insurers, brokers, and MGAs capture institutional knowledge that would otherwise fade as experienced professionals move on or retire.

Rather than treating automation as the end goal, Gennaro Brooks-Church focuses on learning-based technology that becomes more accurate with every submission it processes, shaped continuously by the corrections and judgment calls made by real underwriting teams. He works closely with industry partners to make sure his systems reflect actual day-to-day practices, not theoretical use cases.

At the core of his approach is a simple standard: technology should make good underwriting easier to sustain, not replace the expertise behind it. Through this work, Gennaro Brooks-Church continues to help the insurance industry modernize without losing what makes it trustworthy.

Gennaro Brooks-Church

Core Competencies

Where the work of Gennaro Brooks-Church concentrates

Six areas define how Gennaro Brooks-Church approaches AI for underwriting, from the first line of code to how a system is handed off to a live team.

Underwriting-Specific AI

Designing systems built around real underwriting workflows, not generic automation borrowed from unrelated industries.

Institutional Knowledge Capture

Helping organizations retain the judgment and experience of underwriters before it's lost to turnover.

Workflow Simplification

Reducing repetitive, manual steps in submission intake without sacrificing accuracy or oversight.

Learning-Based Systems

Building AI that improves continuously from real corrections, rather than relying on static, fixed rules.

Document Intelligence

Classifying and extracting data across varied insurance documents, regardless of broker-specific formatting.

Transparent AI Design

Ensuring every output can be traced back to its original source for full accountability.

Industry Collaboration

Partnering closely with insurers, brokers, and MGAs to keep systems grounded in real practice.

Fast Implementation

Configuring new systems around a client's specific processes within days, not months.

Expertise

What Gennaro Brooks-Church brings to every project

A practical skill set built from years of sitting inside real underwriting workflows, not from a whiteboard.

AI for Insurance Operations

Deep experience applying artificial intelligence directly to underwriting and submission workflows.

Data Extraction and Classification

Skilled in building tools that process ACORD forms, SOVs, and loss runs accurately.

Continuous Learning Models

Expertise in systems that refine their accuracy over time using real-world feedback.

Audit-Ready Technology

Experienced in designing traceable outputs that support compliance and regulatory reporting needs.

Client Onboarding

Skilled at configuring AI systems quickly around an organization's existing brokers and formats.

Cross-Industry Partnerships

Experienced working directly with carriers, MGAs, and wholesale brokers on shared solutions.

Product Leadership

Hands-on experience guiding AI products from early development through real-world deployment.

Human-Centered AI Design

Expertise in building technology that strengthens, rather than replaces, underwriter judgment.

Mission & Vision

The two ideas behind everything he builds

Mission

Keep the knowledge, remove the friction

My mission is to help the insurance industry hold on to something it cannot afford to lose: the judgment and experience of its underwriters. As Founder of Cazimir and Brooks Energy, I focus on building AI that captures institutional knowledge as it is created, rather than trying to recover it after someone has already left. I believe technology should reduce the repetitive, manual work that slows underwriting teams down, without asking them to give up the decision-making that only real experience can provide. That is why I build learning-based systems that grow more accurate with every submission processed, shaped directly by the corrections underwriting teams make along the way. My mission is simple: make good underwriting easier to sustain, not easier to replace.

Vision

An industry that trusts its tools

My vision is an insurance industry where adopting AI never means giving up the expertise that makes underwriting reliable. I want to help build a future where learning-based systems and experienced underwriters work side by side, each making the other more effective rather than competing for the same role. Through Cazimir and Brooks Energy, I am focused on creating technology that stays transparent enough to trust, so underwriters and compliance teams never have to take a system's word for it without being able to check the reasoning behind it. As the industry continues to change, my vision is for AI to become a way of preserving what already works, not a replacement for it.