AI Adoption
AI made the work faster. The results didn't arrive.
Same premise, one domain. The tools work, and the cause of the gap sits one level below them, in how the organization is designed. AI adoption fails in three patterns, and most organizations live in all three at once.
01Over-controlledProcurement queue, security review, legal pass-through. Eleven months later the pilot is a deck, and the two engineers who cared have left.
02Under-controlledMarketing pays for one tool, engineering buys another on personal cards, and legal blocks both, then quietly uses a third in a browser tab. A thousand private wins, no shared learning, no change at the level of the organization.
03Decisions that don't stickThe off-site lands. Slides circulate, the channel goes quiet by Wednesday, and Monday's work looks identical to Friday's. The next steering review hears the same three blockers.
H³ is one redesign for all three patterns: three days on site, then three to six months of real work with named owners, then the cycle repeats. Each cycle compounds the last.
I am one of the Trusted Coaches who deliver H³.
30 minutes: together we decide whether H³ fits where your organization is now.Three ways to reach me →
The Cycle
FormatA repeating cycle
On site3 days
Then3–6 months of real work
OwnershipNamed owners