Header text

Case Study: Insurance 

Embed

<!DOCTYPE html>
<html lang="en">
<head>
 <meta charset="UTF-8">
 <meta name="viewport" content="width=device-width, initial-scale=1.0">
 <title>AI Strategy Navigation</title>
 <style>
 .button-container {
 text-align: center;
 margin-top: 20px;
 }

 .back-button {
 background-color: #cc4400; /* Red */
 color: white;
 padding: 12px 20px;
 font-size: 20px;
 text-decoration: none;
 border-radius: 5px;
 display: inline-block;
 margin: 10px;
 }

 .talk-button {
 background-color: #0044cc; /* Blue */
 color: white;
 padding: 12px 20px;
 font-size: 20px;
 text-decoration: none;
 border-radius: 5px;
 display: inline-block;
 margin: 10px;
 }

 .back-button:hover {
 background-color: #993300; /* Darker Red */
 }

 .talk-button:hover {
 background-color: #003399; /* Darker Blue */
 }
 </style>
</head>
<body>

 <div class="button-container">
 <a href="https://dannykatzconsulting.com/solutions" class="back-button">
 Back to Solutions
 </a>
 <a href="https://dannykatzconsulting.com/contact" class="talk-button">
 Let's Talk - Book a Strategy Call
 </a>
 </div>

</body>
</html>

List

Fixing AI Governance in Insurance Before It Tanks Compliance

An insurance provider integrated AI to streamline underwriting and claims processing. Instead of efficiency, they got compliance nightmares—fragmented documentation, unexplained claim denials, and regulators asking uncomfortable questions.

A chip labeled AI in the middle of metal components

The Problem

- Built a governance framework to ensure AI decisions were transparent and explainable.
- Standardized data sources to eliminate bias in pricing and fraud detection.
- Implemented compliance monitoring to catch issues before regulators did.

What We Did

✔ Reduced regulatory risks by aligning AI decisions with legal standards.
✔ Improved fraud detection accuracy, cutting false positives by 40%.
✔ AI-powered underwriting that was actually trusted—by auditors and customers.

Businessman hand touch Regulation on screen, business concept

Results

AI in insurance isn’t a free-for-all. If your underwriting and claims processes can’t explain themselves, regulators will come knocking. We fixed the governance gaps before they became legal liabilities.

The Takeaway

Danny Katz Consulting

We help companies fix knowledge chaos, streamline AI governance, and build systems that actually work. Whether it’s unsearchable knowledge silos, AI making bad decisions due to bad data, or compliance teams struggling with operational execution—we solve the problems that stall productivity, increase risk, and waste time.