What It Really Takes to Adopt Generative AI at Scale
Shownotes
With Nayan Paul — Managing Director & Chief Architect, Generative AI at Accenture
Why are so many organisations experimenting with Generative AI, but so few turning it into meaningful business impact?
In this episode, Ben Parker speaks with Nayan Paul about what it really takes to move GenAI from experimentation into production and scale.
They explore why successful adoption isn't simply a technology challenge. It requires business ownership, the right operating model, strong data foundations and a clear approach to governance.
The conversation also examines how organisations can move quickly without sacrificing trust and responsibility and what separates AI experimentation from genuine business transformation.
You’ll hear practical insights on:
- Why GenAI pilots struggle to reach production
- Moving from experimentation to measurable business value
- Why business ownership matters as much as technology
- Building the foundations for GenAI at scale
- Creating an effective AI operating model
- Balancing speed, governance and responsibility
- Turning GenAI from an experiment into an organisational capability
Chapters
00:00 Why scaling Generative AI is difficult
01:08 Meet Nayan Paul
05:08 Early GenAI experiments and lessons
07:02 Moving from experimentation to business value
10:14 Driving adoption across the business
16:15 Building the foundations for AI at scale
29:24 Balancing speed with responsibility
34:09 Moving from curiosity to impact
Thank you for listening!