If your agency administers Medicaid, SNAP, foster care, child welfare, or any combination of public assistance programs, you already know the problem. Each program has its own eligibility rules, its own systems, and its own paperwork. Families apply to multiple programs separately. Caseworkers re-key the same data across platforms. Eligible people fall through the cracks — not because the programs don't exist, but because the process is too fragmented to navigate.

Servos is building AI agents that collapse that complexity into a single experience. Using conversational AI backed by a deterministic rules engine, our approach screens applicants across dozens of programs in one interview. It adapts questions dynamically based on household composition, and produces transparent, auditable eligibility results in real time. The same principles power our work across the social benefits landscape, from intake automation to case evaluation.

Our Child Welfare Information System (CCWIS) is where this approach runs deepest — a unified platform for intake, investigation, case management, foster care licensing, and eligibility, built for the caseworkers and families who depend on it.