How a CFO should sequence an agentic-AI deployment

The principle is well established. Robert Cooper's stage-gate methodology, proven in new-product development for decades, holds that investment should advance through discrete phases, each ending in a go/no-go decision against predefined criteria. Applied to AI, it directly counters the failure mode MIT identified — it forces every phase to prove a financial result before the next is funded.

A defensible sequence has four moves. Diagnose: quantify where EBITDA is leaking and set a baseline. Pilot: deploy against one or two high-value processes, contained. Gate: validate the pilot against hard metrics before any expansion — in the SEAS model, a Phase-1 gate around week eight requires accuracy above 90%, cycle-time reduction above 25%, cost reduction above 15%, exception rate below 8%, and satisfaction above 3.5/5, all met. Scale: extend to further processes, each behind its own gate.

This is what protects the CFO. A failing pilot is paused, not propagated, so capital is never committed to an unproven approach; and each gate produces a documented, board-defensible track record. It is also why staged deployments succeed where big-bang programs stall — a conclusion BCG and McKinsey reach independently in finding that value comes from disciplined, end-to-end transformation rather than scattered pilots.