GovEngine.ai is the vendor-neutral governed runtime every agency must put in front of its AI — the mandatory policy chokepoint between any model, any cloud, and a modular catalog of mission agents. The engine is running today. The brand names it.
Regulation forces the purchase. A leading analyst names the category. The giants leave the exact gap we fill.
OMB memos M-25-21 & M-25-22 (Apr 2025) replaced the prior guidance but kept the architecture — CAIOs, governance boards, use-case inventories — and added hard deadlines. M-25-22 names anti-vendor-lock-in roughly seven times, requiring model & data portability.
"Guardian agents" — automated runtime oversight — projected at 10–15% of the agentic AI market by 2030. Their Reviewers / Monitors / Protectors taxonomy maps one-to-one onto our redact, observe, and block functions.
AWS Bedrock (IL4/5) and Google's $0.47/agency Gemini push models + agents + guardrails toward free — inside their own clouds. That is the lock-in OMB tells agencies to avoid.
Credibility with a federal buyer comes from never overclaiming. Here is the exact line.
Every agency must maintain an AI use-case inventory and risk-manage high-impact AI. Agencies reported 3,000+ use cases in 2025 — assembled by hand, in spreadsheets. Nobody auto-exports it from real enforcement data. We already capture every call, model, cost, guardrail fire, and redaction. We are one report-generator away from the line that makes a CAIO lean forward.
Don't sell another model or another agent. Sell the chokepoint they all must pass through.