Earnix launched Agent Hub, a curated catalog of more than 25 insurance specific AI agents and apps inside Earnix AIOS, its AI Orchestration System. Earnix says the agents work within pricing and rating, underwriting and customer engagement solutions, drawing context from policy administration systems, data platforms and underwriting workbenches under defined permissions, traceability and human oversight. Fourteen were demonstrated at Earnix Excelerate London; examples include Model Feature Mapper, which connects model features to the appropriate data variables for pricing and actuarial teams, Product Expert Advisor and Premium Explainer.
Our readThis is Earnix moving from recommending a price to acting inside the workflow that sets it. Pricing is a regulated decision in most markets, so the permissions and traceability claims are the ones to test. Ask which agents can change a live rate, and what record each action leaves for a rate filing.