In a recent Reejig webinar, Dr. Kathi Enderes (SVP of Research, The Josh Bersin Company) and Siobhan Savage (CEO, Reejig) unpacked new research on Dynamic Work Design. This framework reshapes how organizations approach work in the AI era. It does not automate tasks blindly. It starts with business outcomes. It rethinks how work gets done.
The report responds to a critical challenge. Most companies invest heavily in AI. Few see real transformation. They try to retrofit new approaches into outdated job structures.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 delivers results only when work itself supports real outcomes.
Leaders need to shift the conversation from jobs to tasks. From roles to results. That is the heart of Dynamic Work Design.
AI capability is compounding. Work visibility is not.
Here are five takeaways from the webinar.
Too many companies approach AI backwards. They start with technology before clarifying the problem. Transformation happens when you begin with the business challenge. Define the outcomes you want to achieve.
This shift sets the stage for meaningful redesign. Without it, even the best AI falls short.
Legacy job architectures support compliance, not change. They hide what people actually do. WPP dropped 55,000 job titles to 600. They used Reejig to map real tasks and skills. That visibility freed capacity and identified automation potential. It refocused roles on higher-value outcomes.
Understanding work at the task level is the only path forward. It designs roles for how work happens today.
The report lays out four stages of AI transformation:
Most companies are stuck in Stage 2. They have automated parts of workflows. They have not redesigned roles or outcomes. That is why progress feels incremental. Real value shows up in Stages 3 and 4. There, work is redesigned around what people and AI each do best.
You cannot fix what you cannot see. Reejig's Work Operating System makes work visible, fast. It maps tasks, identifies automation opportunities, and shows where existing systems perform more effectively.
This used to require months of consulting. Now it takes minutes. Integration with systems like Galileo provides real-time insight to support dynamic change.
Transformation does not require a massive initiative. It needs one clear opportunity.
Micron, Zurich, and WPP have followed this path. Momentum starts small. It scales fast when the foundation is solid.
If your AI investments produce no impact, the problem is not the technology. It is the work. Dynamic Work Design gives you the method. Work Intelligence gives you visibility. The rest is leadership. Start small, learn fast, and scale what works.
"This is one of the most important times that we all as leaders will have in our career." - Siobhan Savage
Read the full report: Dynamic Work Design: The Key to AI Transformation
Book a demo to see how the Work Operating System makes work visible from day one.