Government

Policy-constrained AI for public-sector programs where oversight, records obligations, and public trust depend on auditable evidence.

What Ontic Does Here

Ontic governs AI output in agency workflows by enforcing policy and evidence checks before emission. The platform binds decisions to authoritative records, logs every gate event, and supports deterministic replay for oversight and inspector review.

Applies agency policy constraints before any model output reaches operators
Verifies program and adjudication claims against authoritative source records
Enforces least-privilege access across interagency and contractor workflows
Produces audit-grade control logs aligned to oversight and records processes
Supports deterministic reconstruction of AI-assisted decisions for review bodies

Regulatory Context

Public-sector AI adoption is shaped by procurement, records, privacy, and oversight requirements that demand transparent control decisions.

Federal and state records obligations require durable, reconstructible decision trails
Privacy and civil liberties requirements constrain data use and model emission behavior
Inspector general and legislative oversight require defensible system accountability
Procurement and security control baselines impose strict operational governance expectations
Public trust standards increase the cost of opaque or unverifiable automated decisions