Organizations can already measure AI investment. Few can measure the leadership signals that decide whether that investment ever reaches the P&L. That gap is where the value — and the risk — actually sits.
US private AI investment in 2025 — capital pouring in faster than organizations can absorb it.
of enterprise GenAI pilots never reach measurable P&L impact.
of CEOs say AI success depends more on adoption than on the technology.
A composite of ~1,200 people and a ~$4M AI program — invested correctly, stalled anyway. Here's where the signal turned it.
~$4M in tools, licenses, and enablement across a 1,200-person organization.
Nine months in, no measurable return — usage was real, adoption wasn't.
The diagnostic found a weak Outward signal — leaders weren't turning AI learning into shared practice.
A Signal Sprint™ focused leaders on Team Learning Experiences, where the reference samples showed the most room to move.
Illustrative composite — not a specific client.
Measure a leadership team, develop the highest-leverage signal, and establish the ROI in your own numbers.
The full analysis: read The 95% Problem →