Capability Lever #3: Culture

Most AI programs chase tools. The successful ones invest in people.

Our pilot study uncovered something most organizations overlook: The biggest capability gains didn’t come from software, they came from culture.

Here’s what changed when teams didn’t learn alone, but together through Experiential Learning and coaching:

• Trust rose 26% - Teams stopped waiting for permission. They collaborated faster, experimented more, and took real initiative with AI.

• Coached employees saved 27 more hours per year than those who only received training. On its own, 27 hours sounds small. But spread across a workforce, it becomes thousands of reclaimed hours — the difference between dabbling in AI and actually integrating it into daily work.

More importantly, it reveals the real mechanism behind capability gains. 

While training teaches people the tool, coaching changes how people behave around the tool. And when behavior shifts toward:

•  Shared learning

•  Cross-silo teaming

•  Coaching instead of telling

•  Curiosity instead of control

•  Safe-to-try experiments

... capability becomes habitual.

This is why companies roll out frameworks, platforms, and models for years and still fail to see meaningful ROI: If trust doesn’t rise, capability doesn’t stick. And if capability doesn’t stick, AI stalls every time.

For those of us who are more mathematical: 

↑ AI Trust    →     ↑ AI Adoption    →     ↑ AI ROI

At the end of the day: AI adoption succeeds at the speed of culture.

Curious about the Colaborix AI Adoption Pilot Study? Read the full white paper, or our posts about capability levers: Trust and Confidence.