Earnix, an AI provider specialising in insurance decisioning, has launched its Q4 2026 Release, introducing updates to its pricing, rating and customer engagement tools to reduce manual workloads and improve operational control for insurers.
The release focuses on helping insurers implement pricing changes more efficiently, manage data and models, prepare regulatory filings and explain premium decisions to policyholders. It combines enhancements to existing capabilities with targeted AI and automation designed to address practical operational challenges.
Insurers face growing pressure to respond to changing risks and market conditions while maintaining pricing discipline, regulatory compliance and customer trust. However, translating pricing strategies into operational changes, maintaining complex models and preparing regulatory documentation can require substantial manual work and coordination across teams. These demands can slow the implementation of decisions that affect business performance.
Within pricing and rating, Earnix has introduced changes intended to simplify rating across multiple states and products, automate base rate adjustments and improve integration with ISO Electronic Rating Content (ISO ERC). Enhanced testing capabilities also allow insurers to assess changes more thoroughly before deployment.
The customer engagement updates include AI-powered document analysis and clearer, more consistent premium explanations, helping frontline teams respond to policyholder questions more efficiently. Enhanced oversight of AI agents and improved recommendations are also designed to support the use of AI in customer-facing workflows while retaining human supervision.
Data and model management improvements include more granular data retention controls, flexible analytical capabilities and greater visibility into model structures and dependencies. For regulatory preparation, updated rate manuals and reusable filing templates aim to reduce repetitive formatting tasks, allowing teams to focus more on validation and review.
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