In this episode, Siobhan Savage sits down with Ben Schreiner, Head of AI and Modern Data Strategy Business Development at Amazon Web Services (AWS), to explore how enterprises are scaling AI beyond experimentation.

AI creates value only when it is applied to real work. Organizations that succeed map work at the task level, redesign workflows, and deploy AI into execution with clear measurement of impact.

This conversation breaks down how leading enterprises move from proof of concept to operational scale. Ben shares how companies are structuring work, integrating AI into workflows, and building systems that deliver measurable outcomes while maintaining human oversight. The focus is practical. What works. What fails. And how leaders make AI part of how the business runs.

In this episode, you’ll learn:

• How do enterprises move from AI pilots to real business impact?
• Why mapping work at the task level is critical before deploying AI
• What Ben Schreiner sees as the biggest blockers to AI adoption
• How AWS customers scale AI across workflows and operations
• What responsible AI execution looks like inside global enterprises

Ben Schreiner leads AI and modern data strategy business development at AWS. He works with global organizations to design and scale AI strategies that deliver measurable outcomes across complex environments.

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