In a recent Reejig webinar, Dr. Kathi Enderes (SVP of Research, The Josh Bersin Company) and Siobhan Savage (CEO, Reejig) unpacked brand-new research from The Josh Bersin Company on Dynamic Work Design. This framework is reshaping how organizations think about work in the age of AI, not by automating tasks blindly, but by starting with business outcomes and rethinking how work gets done.
The report is a response to a critical challenge: most companies are investing heavily in AI but failing to see real transformation. Why? Because they’re trying to retrofit new tools into outdated job structures. As Dr. Kathi Enderes said, “This is not a one-time thing... the moment you start to transform, you have to keep going.” AI can deliver results, but only if the work itself is designed to support real outcomes.
To make AI work, leaders need to shift the conversation from jobs to tasks, from roles to results. That’s the heart of Dynamic Work Design.
Here are five takeaways from the webinar that show how to make that shift real.
Too many companies approach AI backwards, starting with the tool before clarifying the problem. But transformation only happens when you begin with the business challenge and define the outcomes you actually want to achieve.
This shift sets the stage for meaningful redesign. If you don’t start here, even the best AI won’t help.
Legacy job architectures were built for compliance, not change. They hide the complexity of what people actually do. That’s why WPP dropped 55,000 job titles down to 600 and used Reejig to map real tasks and skills. That visibility helped them unlock capacity, identify automation potential, and refocus roles on higher-value outcomes.
Understanding work at a task level is the only way to design roles for how work really happens today.
The report lays out four stages of AI transformation:
Most companies are stuck in Stage 2. They’ve automated parts of workflows but haven’t redesigned roles or outcomes. That’s why progress feels incremental. The real value shows up in Stages 3 and 4, where work is intentionally redesigned around what people and AI each do best.
You can’t fix what you can’t see. Work Intelligence Platforms like Reejig help you make work visible—fast. They map tasks, identify automation opportunities, and show where existing tools can be activated more effectively.
This used to require months of consulting. Now, it takes minutes and is integrated with platforms like Galileo, giving you real-time insight to support dynamic change.
Transformation doesn’t have to start with a massive initiative. It just needs one clear opportunity.
Choose one business problem
Map the tasks and pain points
Test AI’s impact
Learn and expand
Companies like Micron, Zurich, and WPP have followed this path—proving that momentum starts small and scales fast when the foundation is solid.
If your AI investments aren’t driving impact, the problem isn’t the tools. It’s the work. Dynamic Work Design gives you the method. Work Intelligence gives you visibility. The rest is leadership—starting small, learning fast, and scaling what works.
Read the full report – Dynamic Work Design: The Key to AI Transformation
Book a session with a Work Strategist to explore how Work Intelligence can help you rethink work from the ground up.