Enterprise AI Governance Administration

The State of Tennessee is conducting market research to understand the capabilities of enterprise‑level AI governance administration platforms. This RFI seeks detailed information on solutions that can manage AI model inventories, enforce policy‑driven workflows, provide runtime governance, cost‑tracking, security controls, auditability, and integration with existing enterprise systems. Vendors must detail product maturity, integration options, public‑sector experience, and a high‑level pricing model. • Core functions: AI inventory, policy/workflow engine, risk classification, lifecycle management, and centralized dashboards. • Runtime capabilities: prompt inspection, guardrails, telemetry, shadow‑AI detection, and agentic‑AI controls. • Supporting services: cost attribution, charge‑back/show‑back, security (PII/PHI protection), audit logs, HITL mechanisms, and multi‑cloud deployment flexibility. • Required deliverables: narrative response, architecture diagram, product‑maturity table, public‑sector references, and roadmap statement within a 35‑page limit.