Earnix is rolling out Q4 2026 enhancements that simplify pricing changes, data and model management, regulatory filings, and customer communications by combining existing functionality with AI and automation.

These updates streamline how insurers implement pricing changes, manage data and models, prepare regulatory filings, and communicate with customers, leveraging AI and automation to connect planning with execution.

Industry analyst Celent reinforces the need for capabilities that make insurance decisioning easier, governable, and explainable.

Earnix frames the updates as strengthening governance and human oversight while speeding decisioning and reducing operational friction.

Be’er i Mart, Chief Product and Technology Officer, emphasizes expanding the portfolio and integrating analysis with execution through AI and automation for better outcomes.

Earnix highlights AIOS (AI-powered orchestration) as the framework enabling these capabilities to work together across pricing, rating, underwriting, and customer engagement.

AIOS is positioned to coordinate intelligence across the decision lifecycle to support governed, real-time decisions in pricing, underwriting, claims, retention, and customer engagement.

Customer engagement improvements include AI-powered document analysis and clearer premium explanations, with oversight of AI agents to maintain human control in interactions.

These customer-focused enhancements enable frontline teams to address policyholder questions more efficiently while keeping AI agents under human supervision.

Overall improvements in customer engagement feature AI-powered document analysis, clearer premium explanations, and stronger oversight of AI agents to balance automation with human control.

Earnix announced its Q4 2026 Release, introducing new capabilities across pricing, rating, and customer engagement for insurance decisioning.

The Q4 2026 Update aims to reduce manual workloads and improve operational control in pricing, rating, and customer engagement tools for insurers.