Field notes on human-tech collaboration, collaboration AI, and integrating AI into human workflows. Start with the H2H & H2M service matrix, run the Readiness Audit, or .
Shadow AI is AI use without your knowledge, approval, or governance. Gallup's undivided 52% hides it, the 47%-vs-25% plan gap feeds it, and only an instrument built on psychological safety can measure it.
Gallup's Q2 2026 data puts US workplace AI use at 52%. That locates the market average — not your organization. Three questions a benchmark can never answer, the difference between description and causality, and a 90-day sequence for building your own baseline.
AI fits in the coordination layer: gathering evidence, drafting options, monitoring processes. Human judgment stays where a decision is irreversible, contested, or attributable. Three tests, one decision table, and a 90-day plan for drawing the line.
Human-in-the-loop (HITL) and human-on-the-loop (HOTL) are not interchangeable labels. This guide explains the difference, when to use each, and how to implement the right oversight model in 90 days.
License counts and login stats measure whether people touched the tools — not whether work changed. Here are the three layers of metrics that actually predict AI ROI, and how to collect them.
Most AI strategies are single-scenario bets built on a best-case forecast. Here is how to use Best Case vs. Worst Case scenario planning to align leadership, stress-test AI transformation risk, and build an operating model that survives either future.
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