> Notes from the work of putting AI into real organizations: where automation pays off, how agentic workflows earn trust, and why so many projects stall between demo and daily use.
What separates a workflow that sticks from a clever demo nobody opens twice.
The recurring failure patterns, and the governance and measurement habits that avoid them.
Human-in-the-loop review, guardrails, and value-realization metrics for AI at organization scale.
The technology works. The rollout doesn't. What breaks is the gap between a demo and daily use.
54% of workers bypass the AI and finish the task manually. The failure mode is a closed tab, not a crash.
61% of executives trust AI for real decisions; 9% of workers do. The gap is where the budget dies.
The model is rarely the murderer. Seven self-inflicted design failures, and the fix for each.