Most digital transformation projects don’t fail because of technology. They fail because of culture.
This talk explores the overlooked twin of technical debt: cultural debt—the outdated behaviors, norms, and “the way we’ve always done it” mentality that quietly blocks ERP, CMMS, LMS, AI, and other digital initiatives from delivering real value.
You’ll learn how to:
- Distinguish technical debt (systems, integrations, data) from cultural debt (habits, incentives, leadership behavior)
- Recognize when your slogans (“Safety first,” “Quality starts with you”) don’t match what really happens on the shop floor
- Understand the new workforce mindset and the impact of the gig economy and low loyalty on retention and training
- Use the “revolving door” of talent to your advantage by piloting change where resistance is lowest
- Build a data-driven culture that cleans up data before AI—so you’re truly AI-ready
- Shift from “proof of concept” to proof of value, starting with the problem you want to solve (not the system you want to buy)
- Avoid costly missteps, like implementing a QMS just to “have a QMS” instead of solving simple, high-impact problems (e.g., getting work instructions to operators)
Through a real-world machine shop case study, you’ll see how small changes in standards, measurement tools, and operator ownership transformed the culture—and made the organization finally ready for digital tools.
If you’re a plant leader, engineering manager, reliability or continuous improvement professional trying to push digital transformation but keep running into resistance, this session will help you diagnose the real blockers and design a smarter path forward.
Want to see how Redlist supports people-first digital transformation on the shop floor? See a demo: https://www.getredlist.com
