Gartner's June 2025 forecast put more than 40 percent of agentic AI projects on track for cancellation by the end of 2027, citing escalating cost, unclear business value and inadequate risk controls. None of those are model problems.
This paper sets out the three questions a federal organization has to answer before an AI agent goes anywhere near production: what the agent is allowed to access, how anyone will see it fail, and who is accountable when it does. It walks through the gated lifecycle every Empower AI teammate passes through, why each one runs inside Empower AI first as Client Zero, how authority and reach are bounded separately, and a worked example from a production deployment.
