AI Agents Transforming Insurance Risk and Claims Management

Artificial Intelligence (AI) continues to reshape the insurance industry, enhancing risk prediction and claims management. Insurance Edge spoke with Erez Barak, Chief Technology Officer at Earnix, during Excelerate 2025 to explore emerging trends.

Explainable AI and Regulatory Evolution

Barak emphasized the growing importance of Explainable AI, noting regulators will demand transparency in how insurers use AI models. "Explaining a data model means showing values, features, and risk pricing methodologies," Barak stated. This aligns with U.S. practices where product filings already require such disclosures.

Legacy Data Integration with AI Agents

When asked about leveraging legacy broker data (portals, emails, call recordings) combined with public data (CCJs, vehicle records), Barak highlighted Earnix's AI Studio capabilities. Insurers can deploy AI Agents to:

• Analyze customer drop-off points in pricing workflows
• Cross-reference internal data with third-party sources
• Generate actionable insights while maintaining compliance

"It's an organic improvement process, not a sudden revelation," Barak explained. These agents operate within defined parameters, allowing insurers to refine products incrementally.

The Future of Human-AI Collaboration

Barak dismissed dystopian visions of AI dominance: "It's been overstated that AI Agents will take over everything." Instead, he foresees:

• Specialized AI applications tailored to specific insurance functions
• Enhanced human-AI partnerships improving systems and products
• Continued importance of human empathy in decision-making

"The social dimension will drive progress more than pure automation," Barak concluded, positioning Earnix's technology as augmenting rather than replacing human expertise.

For more insights, visit Earnix Excelerate 2025.