7 enterprise AI adoption lessons from WPP's workforce redesign

WPP didn't add AI to the edges.

They reengineered how work gets done across a 110,000-person workforce.

What started with 55,000 fragmented job titles became a unified, task-level blueprint for the AI-powered enterprise.

At Reejig, we partnered with them to deliver the infrastructure for that shift. But what matters most are the strategic moves behind the scenes.

Here are 7 real lessons every executive team should take seriously. Direct from the ground floor of WPP's transformation.

1. Frame transformation around capacity, not cuts

WPP's leadership didn't lead with fear. They led with potential. They presented AI not as a reduction strategy but as a way to create 20 to 25% more capacity in roles across the business.

"It's time saved that can be applied to upskilling for more productivity. The goal is more purpose-driven work and better client outcomes."

— Josh Newman, Global Head of People Strategy & Experience, WPP

2. Replace static job architecture with real work infrastructure

WPP's org design was holding them back. 55,000 job titles across 110,000 people. No common structure. No clarity on work.

They built a new infrastructure. It connected tasks, subtasks, skills, and AI agents. It produced real-time workforce decisions.

From Job Architecture to Work Architecture.

3. Fuse internal and external data to power intelligence

WPP knew internal org charts weren't enough. They layered Reejig's Work Intelligence on task-level automation potential. They combined it with their internal LLM and in-house AI. The result: validated, task-specific redesigns.

"We fed the company's own AI into the model. That made the outputs immediately useful and trusted."

— Josh Newman, Global Head of People Strategy & Experience, WPP

Lesson: Insight isn't intelligence unless it's grounded in execution. Merge what you know with what's possible. Make it usable in the flow of business.

4. Make it enterprise-wide, or it doesn't scale

WPP didn't isolate AI to one team. They evaluated 600 roles, 750 tasks, and 18,000 skills. That covered 84,000 employees. Redesign wasn't about one function. It was a systemic shift.

"We cannot begin to answer that unless we understand the implications for the entire workforce."

— Josh Newman, Global Head of People Strategy & Experience, WPP

Every enterprise is deploying AI. Almost none can see the work they're deploying it into.

5. Let transformation be pulled by the business

WPP didn't roll this out top-down. They started with teams that had a reason to act. Media planners, creative, and PR leaders who already saw the opportunity. That pull created momentum.

"It's about finding people who have the right perspective."

— Josh Newman, Global Head of People Strategy & Experience, WPP

6. Make the insights actionable for leaders

WPP created task-level playbooks matched to actual AI already in use. Business leaders didn't just get recommendations. They got execution plans.

"The ability to create a playbook for us that is so tactical and explicit. It will be hard to look away from."

— Josh Newman, Global Head of People Strategy & Experience, WPP

Lesson: If your AI strategy requires interpretation, it's not decision-ready. Leaders should act without asking twice.

7. Operationalize it with C-level governance

AI transformation at WPP wasn't left to tech teams. They brought in CHROs, COOs, CFOs, and other C-suite leaders to guide the redesign of work at scale.

Final word

Most companies say they want to be AI-ready. Fewer are willing to do the foundational work required to get there.

WPP didn't "automate around the edges." They rethought what work is. They redesigned from the inside out. They used intelligence, real, structured, task-level intelligence, to make every role, every decision, and every person count.

That's the benchmark now. Every company has the power to meet it. If they start with the work.

Siobhan 💜