A majority of CEOs report neither higher revenues nor lower costs from AI in the last twelve months, while a minority reports both. The engagement establishes which side your program is on, and why, from your own spend, delivery, and results.
The reading runs like any benefits-case audit an operator would conduct: what was approved, what was spent, what shipped, what moved in the P&L, and where the gap between promise and number opened. In most programs the technology cleared its tests and the gap opened downstream, in an operating model that never changed shape, in adoption the rollout plan assumed rather than built, in a process that kept its old control points while the capability waited beside it.
It is led by the operator who built the Fortune 50 market-mix platform named ROI Engine, which returned approximately $66M of EBITDA in its first production quarter across six North America brands and won the Chairman's Award. The engagement ends with the constraint named, the evidence attached, and a removal sequence your own team runs.