AI might be the headline, but execution is the story.

In the final part of this three-part series, Philippe Rambach gets practical about what it takes to make AI work inside a large enterprise.

This episode explores:

• Why most of AI transformation is really change management
• What goes wrong when AI is introduced as a new tool
• How embedding AI into existing workflows drives adoption
• Why training 140,000 employees is not optional
• And how AI leaders spend their time recalibrating expectations

“If you need 100% accuracy, let’s not waste time.”

A grounded conversation on what it takes to move AI from experimentation to real business impact.

Featuring Rambach in conversation with Dr. Julian Schirmer, Co-Founder at OAO.