One of the biggest challenges in Workday Extend projects isn’t configuration, it’s communication.
Business leaders often know what they want to achieve, HR and finance teams understand the outcomes they need, and Workday experts know how to build it. The problem is that those groups don’t always speak the same language. Requirements documents, spreadsheets, and long emails rarely create shared understanding.
In this episode of Workday Gold, I sat down with Katie Holden, former Workday platform leader and now co-founder of Slider.dev, to talk about closing that gap through visualization.
We talked about how AI-powered prototyping can help Workday experts quickly turn ideas into visual mockups, making it easier for stakeholders to react, refine, and align early. Instead of debating abstract requirements, teams can respond to something concrete: “This works,” or “That dropdown won’t.”
We also explored where AI fits, and where it doesn’t. Tools like Slider don’t replace Workday expertise or implementation work. They support better scoping, clearer handoffs, and less rework by helping teams agree sooner.
Beyond tools, Katie shared career insights that resonated deeply: comfort with ambiguity, curiosity, and consistent execution matter more than chasing one big win. Solid execution, done repeatedly, builds trust and opens doors.
If you work in the Workday ecosystem, whether as a customer, consultant, or leader, this conversation is packed with practical insight.
🎧 Listen to the full episode of Workday Gold to hear the full conversation and real-world examples.
Keith Bitikofer is a Workday coach and consultant who helps professionals navigate their careers in the Workday ecosystem. Listen to the Workday Gold podcast for more insights on career transitions and leadership development here
Want to learn more from the Workday ecosystem? Connect with Keith Bitikofer on LinkedIn for ongoing insights about Workday support and team management.
Excellent insights on visualization-driven development! The gap between requirements and execution is exactly where AI prototyping shines—turning abstract concepts into tangible assets stakeholders can actually respond to. This mirrors how we’ve used visual workflows to reduce rework cycles by 60%. legend link app proves that when teams see before building, alignment happens exponentially faster.