Ep 14: Why 95% of AI Projects Never Scale | Ishit Vachhrajani | AWS

Dr. Henrik Ahlers is the Country Managing Partner and Chairman of the Management Board of EY Germany, helping organizations navigate business transformation, industrial AI, and the future of work. AI can turn an hour of work into just four minutes. But for Henrik, the real question is not how many jobs we can eliminate. It is what people can accomplish with the 56 minutes AI gives back. In this episode of Digital Storm Weekly, Henrik explains why businesses need to look beyond efficiency gains and focus on using AI to improve products, serve customers better, and create new opportunities. He discusses: ● Why AI strategies should prioritize human potential over headcount reduction ● How automation can free employees to focus on more valuable work ● Why innovation requires environments where people feel safe to experiment ● How businesses can use AI to reinvent their products and business models ● Why leadership must communicate the opportunities of AI, not just the threat to jobs Henrik’s central message is clear: The real value of AI is not the four minutes saved. It is what we do with the 56 minutes that remain. For business leaders, AI transformation should be about improving what people can achieve, not simply reducing the cost of getting work done.

Elias Schneider is the Co-founder and CEO of Codesphere, a company helping organizations run modern cloud infrastructure with greater control, flexibility, and independence. Europe wants to become an AI power, but much of its critical digital infrastructure still depends on US cloud providers. For Elias, the problem goes beyond technology. It comes down to who Europe chooses to buy from. In this episode of Digital Storm Weekly, Elias shares why Europe needs to rethink its approach to digital sovereignty and invest in its own technology ecosystem. He discusses: Why digital sovereignty is about control and dependency, not just where data is stored Why European governments and businesses need to buy more from European technology companies How procurement decisions can help build globally competitive AI and cloud companies Why relying on US hyperscalers creates long-term risks for critical infrastructure Why European founders should aim to build the next generation of cloud platforms and core infrastructure How Codesphere helps organizations reduce cloud costs and avoid vendor lock-in Elias's central message is clear: Europe cannot build strong technology companies if it refuses to buy from them. Strategic procurement, ambitious founders, and long-term investment are essential to building a competitive European AI ecosystem. For business leaders, digital sovereignty is not just a compliance decision. It is a strategic choice about control, resilience, and Europe's technological future.

Kishan Chetan leads Agentforce Service at Salesforce, where he focuses on how AI agents are changing the way businesses serve their customers. Traditional chatbots could answer questions, but they often stopped short of actually completing tasks. AI agents are changing that by taking action, resolving issues, and supporting customers across channels, including voice. In this episode of Digital Storm Weekly, Kishan shares a practical perspective on what it takes to move from conversational AI to autonomous customer service. He discusses: ● Why AI agents go beyond traditional chatbots by completing tasks, not just answering questions ● How Salesforce's AI service agent, Casey, has fully resolved 5 million conversations ● How companies such as Engine and Williams Sonoma are using agents to handle real customer needs ● Where human judgment and empathy remain essential in customer interactions ● How AI agents are enabling 24/7 customer service across channels ● Why outcome-based pricing is becoming relevant as AI takes on more work ● How service teams can shift from routine requests to complex problem-solving and revenue growth ● Why businesses remain accountable when their AI agents make mistakes ● What it takes to make voice agents sound natural and respond without frustrating delays Kishan's central message is clear: AI transforms customer service when it stops answering questions and starts resolving problems autonomously. For business leaders, the opportunity is not simply to reduce service costs. It is to improve customer satisfaction, build loyalty, and deliver better experiences at scale.

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. —----------------------- 🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗵𝗲𝗿𝗲 🔗 YouTube: https://www.youtube.com/watch?v=fpjYkVdEaiI&list=PLIUBbSI0VTk1JbL_8U7AciTe-6nCLKaKT 🔗 Amazon Music: https://music.amazon.com/podcasts/a8ccad06-05d4-45e9-9f69-a4b6eacd77c7/the-digital-storm-weekly-podcast 🔗 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-digital-storm-weekly-podcast/id1867227116 🔗 Spotify: https://open.spotify.com/show/779CC9Nn8coXth0tNjlt2d 🔗 RSS: https://rss.com/podcasts/the-digital-storm-weekly-podcast/

Professor Dr. Dr. Hermann Simon has spent decades studying what makes companies successful, long before artificial intelligence became the center of every business conversation. As the founder of Simon-Kucher, one of the world’s leading strategy and pricing consultancies, the author of more than 40 books, and the mind behind the concept of Hidden Champions, Simon has shaped how executives think about pricing, customer value, strategy, and competitive advantage. His work has reached some of the world’s most influential business schools and companies. Now, as a heavy user of AI himself, he brings a perspective that cuts through much of the current excitement: AI can improve analysis, but it cannot replace judgment, leadership, or the ability to understand people. In this episode, Hermann Simon discusses: ● Why AI’s reliability and credibility are often overestimated ● How AI is changing business faster than previous technological waves ● Why better data does not automatically lead to better decisions ● What leaders must still decide themselves, even in an AI-driven organization ● Why leadership, trust, and understanding human behavior cannot be delegated to algorithms ● How AI can reveal patterns while still failing to explain causality ● Why customer-perceived value matters more than simply optimizing price and volume ● What Hidden Champions teach us about focus, specialization, and deep customer knowledge ● Why creativity beyond AI and speed of implementation may define future competitive advantage ● What management principles will remain relevant even after AI matures The conversation brings the discussion back to a fundamental business truth: AI can improve the information available to leaders. It cannot take responsibility for the decisions they make. —----------------------- 🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗵𝗲𝗿𝗲 🔗 YouTube: https://www.youtube.com/watch?v=VfnAHf6MIls&list=PLIUBbSI0VTk1JbL_8U7AciTe-6nCLKaKT 🔗 Amazon Music: https://music.amazon.com/podcasts/a8ccad06-05d4-45e9-9f69-a4b6eacd77c7/the-digital-storm-weekly-podcast 🔗 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-digital-storm-weekly-podcast/id1867227116 🔗 Spotify: https://open.spotify.com/show/779CC9Nn8coXth0tNjlt2d 🔗 RSS: https://rss.com/podcasts/the-digital-storm-weekly-podcast/