️ with Dr. Marc Roman Franke, Partner & Associate Director AI
and digital transformation at BCG
Opening
Eva Simone Lihotzky speaks with Marc Roman Franke, Partner &
Associate Director AI and digital transformation at BCG, about
how trust is built - or lost - during AI transformation inside
large organizations. The conversation is for leaders, product
owners, and transformation teams trying to move beyond pilots and
into real operating change. It focuses on why execution,
governance, and organizational choices determine whether AI
creates value or stalls.
Episode overview
Drawing on large-scale research and implementation experience,
the episode examines why only a small share of companies see
meaningful returns from AI. Franke argues that the main
constraints are not models or tools, but leadership alignment,
operating models, and how trust is earned through delivery. The
discussion moves from the limits of “AI-ready” programs to what
it means to become “AI-first,” including the rise of agentic AI,
unmanaged security risks, and why postponing Responsible AI
eventually blocks scale.
Key themes discussed
Trust as a practical outcome of reliable execution and
visible value, not long-term promises
Why most AI value depends on people, organization, and
leadership rather than algorithms
What separates the small minority of companies that capture
real AI value from the rest
The difference between experimenting with AI and redesigning
the business around it
How agentic AI changes accountability, decision rights, and
human–AI collaboration
Governance as an enabler of adoption and safety, not a
compliance afterthought
Security and third-party risks that grow as AI scales
When Responsible AI can be delayed—and why it becomes a
blocker later
Referenced during the conversation:
BCG, MIT, SAP S/4HANA, GDPR, and Steve Jobs.
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