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    EHealth’s AI Overhaul Targets the Hard Problems of U.S. Healthcare

    Following the launch of its “Alice” voice agent for post-enrollment service, EHealth pivots to full-lifecycle automation

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    EHealth’s AI Overhaul Targets the Hard Problems of U.S. Healthcare

    eHealth just expanded “Alice,” its AI voice agent, to handle not only enrollment calls but routine post-enrollment service: application status, ID-card timing, billing questions and Do-Not-Call requests. The company said the expanded agent eliminated after-hours wait times and produced strong caller ratings in early use.

    The move follows an earlier rollout of non-licensed AI voice agents in April that were built to collect intake information and help consumers begin plan selection. Taken together, eHealth presents the work as a progression: recommendation and matching systems under the hood, and a voice interface in front of customers.

    AI becomes infrastructure for enrollment and service

    eHealth’s public materials describe two, linked pieces of technology. One is a plan-matching system that the company says uses machine learning to pair beneficiaries with plans based on coverage needs, provider networks and prescription requirements. The other is voice automation that can route calls, deliver scripted answers and surface next steps for callers.

    Service calls account for much of a broker’s operating cost, and the Medicare Annual Enrollment Period creates predictable surges in volume. Automating routine questions produces 24/7 coverage without hiring proportional headcount. eHealth told investors it has centralized AI work in an “AI Center of Excellence” to prioritize projects and govern model use.

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