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    MediBOT in production: lessons from Puerto Rico's CHC network

    Millennial Networks Team·March 18, 2026·6 min read

    Deploying an AI agent inside a CHC is very different from deploying one in a tech startup. The user is a clinician with two minutes between patients, not a power user with infinite patience.

    01 Start where pain is loudest

    Our first MediBOT workflows targeted eligibility and prior auth. Those are the workflows where staff frustration is highest and the ROI is most obvious.

    02 Earn trust before scaling

    The agent ran in shadow mode for weeks. Only after staff trusted its outputs did we move to autonomous execution on a narrow set of tasks.

    03 Treat the agent like a team member

    Onboard it, document its responsibilities, review its performance. Treating MediBOT as digital staff — not a tool — is what made the difference.

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