AI Adoption Is Failing at the Moment of Work (Field Services Rewired Explained) #staffingservices

Most AI strategies don’t fail in design.

They fail in execution.

This video explains the AI Execution Gap—the point where strategy meets reality and breaks.

At the leadership level, AI looks like:

automation
predictive analytics
intelligent systems

But at the frontline, the moment of work looks like:

time pressure
incomplete information
real consequences
constant trade-offs

- This is where AI is tested.
- This is where most systems fail.

Core Insight

AI is built on work-as-imagined
Performance happens in work-as-done

When those don’t align:

workflows get bypassed
systems slow people down
adoption collapses

AI does not fail because it lacks intelligence.
It fails because it does not match reality.

What You’ll Learn
Why AI adoption breaks in the first 5 minutes of real work
What the Execution Gap actually is
How process debt undermines AI systems
Why technicians bypass tools under pressure
How to redesign workflows before deploying AI
The Trust Loop that drives real adoption
The Framework Behind This

This video is based on Field Service Rewired and the PurposefulNudge system.

Key principles:
Moment of Work determines success
Process Debt kills adoption
Cognitive Load drives behavior
Trust Loop drives usage
🔁 The Trust Loop (Critical)
AI suggests
technician validates
outcome improves
trust increases

No trust → no adoption
No adoption → no ROI

🎯 Who This Is For
Field Service Leaders
IT Support / ITSM Leaders
Operations & Manufacturing Leaders
AI / Digital Transformation Leaders
🔗 Full Framework

📰 Substack: PurposefulNudge
📘 Book: Field Service Rewired
🎯 Focus: Making AI work in the moment of work

Видео AI Adoption Is Failing at the Moment of Work (Field Services Rewired Explained) #staffingservices канала Michael P