If your AI initiative has a progress update but no P&L impact, it's still an experiment. That's the reality leadership teams are starting to confront. The trap isn't moving too slow. It's deploying oversized, complex models against every problem racking up cost and technical debt before a single margin point moves. Lean AI is the alternative. Right-sized models. Targeted automation. Measurable workflows. For CxOs and VPs, the opportunity isn't novelty, it's operational leverage across three things boards actually care about: • Eliminating operational waste — automating high-volume, low-complexity work in IT Ops, service management, and reporting • Increasing workforce productivity — enabling teams to produce more output without increasing headcount • Improving decision velocity — turning data into action faster, which means faster time-to-revenue This is where AI stops being a technology conversation. It becomes an operating model conversation. Organizations approaching AI through a Lean lens are seeing something powerful: better throughput, lower operating costs, and faster execution, consistently. And when those things happen consistently, one number moves in the right direction. EBITDA. Don't deploy AI for the hype. Deploy it to optimize processes, reduce overhead, and drive the bottom line.