Strap in, process nerds — this episode of the BPM360 Podcast with Holger Wüsthoff is a wild ride through the evolution of process work, from “they dragged me into SAP” stories to bold claims about process-driven AI. Caspar, Russell, and Holger spar over whether business must bend to systems or if systems should dance to business moves — and land squarely in the middle: pick your horse (process), then pick your saddle (system).

Holger brings decades of global transformation scars and wisdom: culture doesn’t care how good your blueprint is, adoption kills more projects than tech ever will, and data is the “secret sauce” no one loves to talk about. He challenges us: tools and AI are exciting, but they’re useless unless grounded in reality. So yes, we cover “process first” philosophies, cloud vs custom tension, cross-cultural rollout tales, and even how printing-ink companies clue us into new process/AI frontiers.

Laughs abound (especially when we mock how AI fails simple image raids), but beneath the levity lies serious truth: BPM without process intelligence is like a car with no steering wheel — cool engine, useless overall.

Key Takeaways

1. Engineers sometimes get “drafted” into process roles

Holger originally came from mechanical engineering and got pulled into process management through quality/ISO 9001 duties and an SAP implementation. Sometimes your path finds you.

2. Systems don’t drive business — processes (and choices) do

Back in the day, the system was a “given” and business adapted to it. Holger argues we’re in a shift: pick your processes, and let the composable system support them—not dictate them.

3. Cloud and standardization demand balance

In cloud-first/SaaS environments, customization is limited, so organizations need to harmonize processes, pick what’s essential and where differentiation really belongs.

4. Culture + adoption = the biggest hurdle

In global rollouts (for example, India vs Spain) you see that mindset, timing, and local habits matter more than tech. Change is slow; having patience and adapting to culture makes or breaks success.

5. Data, not tools, is the real fuel for AI

You can have the slickest AI or toolset, but if your data is incomplete, messy, or siloed, you won’t get far. Holger stresses that people + data > system hype.

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