The paper reframes AI's role from "companion" to "mediator" between caregivers and complex systems, providing the conceptual model for GiveCare's agent positioning as a system navigator rather than emotional substitute.
Mediationship requires that AI understand both the user's context and the system's logic, informing GiveCare's dual knowledge architecture (caregiver profile + benefits rules engine).
The shift from companionship to mediationship reduces anthropomorphization risk by centering the AI's value on functional outcomes rather than emotional bond, aligning with GiveCare's safety principles.
The paper identifies specific mediation tasks (translation, advocacy, coordination) that map to GiveCare's SMS agent capabilities.
Findings suggest that mediator AI builds trust through demonstrated competence rather than simulated empathy, shaping GiveCare's approach to trust-building through accurate, actionable responses.