We've talked about capabilities. We've talked about jobs. But what if the very foundation we've built the workforce on needs to be reimagined?
In this episode, Reejig CEO Siobhan Savage sits down with Amy Wilson. Amy is a former Product Strategy leader at SAP SuccessFactors and Workday. She is now Product Strategy Advisor at Reejig. Together they explore the messy, urgent, and exciting business of reinventing how work works.
With decades shaping the biggest platforms in enterprise AI infrastructure, Amy brings a rare vantage point. She's seen where enterprise gets stuck. She knows why tech often misses the mark. And she knows how to redesign from the inside out.
What follows is a brutally honest, insight-rich conversation about the real roadblocks to workforce redesign.
Capabilities aren't predictive. They reflect the past, not the future.
"The fact that we won't have the capabilities we need in the future? That's just a symptom. The root problem is understanding the work."
Job postings and resumes tell us what was trending years ago. To make better decisions, we need a real-time view of work. What's being done? What's changing?
Takeaway: Map the work, not just the worker.
Org charts and job descriptions no longer reflect how work gets done. Internal gigs, AI agents, and agile teams exist outside formal structures. The old frameworks can't keep up.
"Our rigid structures don't work in the midst of change. The org chart no longer reflects what's actually happening."
The problem isn't just inefficiency. It's invisibility. Work is happening. But leaders can't see it, shape it, or scale it.
Every enterprise is deploying AI. Almost none can see the work they're deploying it into.
Takeaway: From Job Architecture to Work Architecture.
Most models predict job disruption based on capabilities. But AI doesn't automate capabilities. It automates tasks.
"AI doesn't automate capabilities. It automates the task. And that changes everything."
Looking at work through a capability lens misses the real impact. If you want to design for the future, start with the atomic unit of work: tasks.
Takeaway: Stop planning around roles. Start planning around tasks.
Data alone won't create change. Most systems weren't designed for dynamic, fast-moving work. That limits how far redesign can go.
"We're pumping good ideas into rigid structures. That's not redesign. That's translation."
Even when organizations reimagine work, they're constrained. The workflows and infrastructure were built for another era.
Not a framework. The critical infrastructure layer for AI-powered work.
Takeaway: Modern work needs modern infrastructure.
The shift to AI-native work isn't a trend. It's a permanently different way of running businesses.
"It's not about a one-time AI project. This is an ongoing change. And your structure needs to flex with it."
The future of work is already happening. Every task reallocated. Every workflow redesigned. This is it.
Takeaway: Progress depends on elasticity, not certainty.
Capabilities are only one piece of the puzzle. To lead in an AI-native world, we need to stop labeling jobs. We need to start understanding work as a living system.
"You don't need to be perfect. But you do need to be moving."
Design for stretch, not stress. Rebuild the systems. Reimagine what's possible. Stop waiting for the future. Start building it.