Ep 23: 80% of AI Transformation Has Nothing to Do With Technology | Dr. Stefan Sambol | OMMAX
Episode notes
Dr. Stefan Sambol has spent more than 15 years working at the intersection of digital strategy, data, technology, and business transformation.
As a founding partner of OMMAX, he has worked with companies and investors on turning AI from an emerging technology into measurable business impact.
In this episode, Dr. Stefan brings a practical perspective to a question many CEOs are facing: What does AI actually change inside a business?
For Stefan, the answer goes far beyond productivity tools.
AI is changing operating models, workflows, commercial economics, organizational structures, and the way companies create value.
In this episode, Stefan Sambol discusses:
● Why AI has moved from a productivity tool to a structural economic shift ● How CEOs can rethink their entire value chain through an AI-first lens ● Why AI initiatives should be driven by the CEO and business, not treated as IT projects ● How companies can identify the AI initiatives that actually move EBITDA ● Why 20% of AI transformation is technology and 80% is organization, processes, ownership, and change management ● Why many AI pilots fail to move into real production and measurable value ● How AI can preserve critical organizational knowledge while improving efficiency ● How AI agents are already creating measurable value in sales, pricing, and customer operations ● Why SaaS companies need to rethink their role inside critical customer workflows ● Where AI creates real risks and why humans still need to remain in the loop ● Why companies often overestimate their AI readiness ● What leaders need to prioritize as AI transforms the workforce and operating model
Stefan's message is clear:
AI is not simply another tool businesses can add to their existing operations.
It requires leaders to rethink how the business works, where value is created, how people work, and where resources should be allocated.
And the companies that make this shift successfully will be the ones that move beyond experimentation and turn AI into measurable business impact.
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