4 AI transformation lessons from Siemens that every enterprise needs to hear. Day 2 at #WDAYRisingEMEA delivered something rare: a leader discussing AI transformation without the script. Nanda Burke, Global Head of Talent at Siemens, sat down with @CarlEschenbach, CEO of @Workday to share what was working.   The results speak for themselves. Siemens employees have already built thousands of AI agents. Here's how they're making it happen:   1. Leadership culture enables experimentation. Burke's concept of "joyous performance" reframes what high-performance cultures need in the AI age. She's explicit about expecting excellence while maintaining lightness and joy within teams. Her principle: stand in front of your team when things go wrong, behind them when things go right. This isn't soft leadership, it's creating the psychological safety required for people to experiment with AI agents without fear of failure. Thousands of agents don't get built in risk-averse cultures.   2. Skills development requires navigation, not just training. Siemens created "AI Base Camp", a gamified experience solving a problem most companies face: overwhelm. Burke was candid about extensive AI training where people didn't know where to start. AI Base Camp helps employees find their entry point. Result: AI training tops organic learing, without mandates, because leadership models the behavior.   3. The right tech stack determines whether you scale or stall. Burke's assessment was direct: "Experimenting with AI is easy, scaling it is not easy." You need a robust infrastructure and strong data foundations. That’s why Siemens partners with organizations like Workday, which provides the trusted data and AI-ready platforms needed for enterprise-scale deployment.   4. Fundamental organizational rethinking is required. Burke's analogy resonates: when electricity arrived, factories initially just replaced steam engines with electric motors while keeping the same layouts and processes. It took years before someone reimagined how to design factories around electricity's capabilities. We're at that inflection point with AI. We're still using it to do what we've always done rather than reimagining what's possible. The companies that recognize this will separate from those that don't.   What struck me most was the absence of buzzwords and the presence of operational honesty. This wasn't a vendor case study, it was a leader sharing what's actually hard about transformation at scale.   The conversation reinforced something I've observed this year: companies making genuine progress with AI aren't the ones with the most aggressive deployment timelines. They're the ones being most honest about what the transformation requires, from leadership culture to technical infrastructure to organizational redesign.   #WorkdayPartnership #WDAYRisingEMEA