Making work visible: A look back at 2025 and what comes next

The problem we committed to solving in 2025

2025 asked leaders to move fast. Adopt AI. Reskill talent. Redesign roles.

But under that urgency sat a hard truth. We cannot change what we cannot see.

Across industries, transformation efforts were stalling. Skills initiatives plateaued. AI pilots failed to scale. Workforce strategies were built on outdated assumptions. Job descriptions no longer reflected how work actually happens.

That is the problem we set out to solve in 2025. Not by adding complexity. By bringing clarity. We believed that until work became visible at the task level, true transformation would remain out of reach. People were at risk of being left behind.

We started with curiosity and conversations

This shift did not start with technology. It started in conversations. Lots of them.

At private forums, roundtables, and executive summits in partnership with The Josh Bersin Company and The Learning Forum, the same three challenges surfaced again and again:

1. "We don't know what work is actually being done."
2. "We're not sure where to apply AI, or why."
3. "Our job architectures aren't keeping up."

That honesty opened the door to a new kind of dialogue. One that moved beyond job titles, beyond assumptions, and into the real anatomy of work.

We built on those insights through two focused collaborations:

• The Work Design Collaborative, in partnership with The Learning Forum. Leaders across HR, IT, and L&D came together to rethink how work should be designed with their peers.
• The Work Architecture Group, co-led with The Josh Bersin Company. We co-created frameworks for defining work at the task level. We used that clarity to plan AI, strategy, and skills (Dynamic Work Design Report).

As the thinking evolved in these rooms, senior leaders shifted how they approached transformation. They moved from asking "where do we start?" to:

• "Where are we duplicating effort?"
• "Where are we underutilizing capability?"
• "Where could AI free people up for more meaningful work?"

To answer those questions, they turned to Work Intelligence.

What became possible with Work Intelligence

In 2025, Reejig partnered with enterprise clients to uncover the true shape of work. Across our clients using the Work Operating System, we mapped over 44,000 tasks and 36,000 skills from real roles. We surfaced nearly 40% average AI potential across their work. We identified more than $7.4B in value opportunities.

This visibility reshaped how the world's leading organizations made decisions. With clarity, confidence, and intent.

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

A closer look at the organizations leading this shift:

• WPP consolidated 55,000 job titles into just 600, unlocked up to 25% capacity gains, and redesigned work at scale using AI and work intelligence.
• With Reejig’s Work Ontology, Micron began mapping its organization at the task and subtask level. This allowed them to see how work was really being done—and where it could be redesigned, streamlined, or supported by AI.
• A leading Australian bank used Work Intelligence to inform strategic workforce forecasting, driving visibility and work transparency across more than 20 Job Families and 790 unique job roles addressing over 30,000 employees. This could unlock more than 1 million + hours of capacity, more than half of which is available now through employee assistance, or augmentation in amplifying their capacity.
  
  

These examples prove that once work is visible, it is redesigned. Responsibly, and at scale.

Building the systems to support change

As these shifts happened over the year, we focused on building the infrastructure to make them scalable:

• Work Architecture gave enterprises a living, dynamic model of work. It updates continuously. It integrates with systems like Workday and SAP. It forms the foundation to redesign roles, align skills, and orchestrate collaboration between humans and AI at scale.
  
  

• The Work Operating System emerged as the connective tissue. Our horizontal, agent-agnostic infrastructure layer makes work visible. It re-engineers how work flows. It connects the right agents. It proves ROI and workforce impact.

Our platform operationalizes what we learned from every conversation, partnership, and implementation in 2025.

What is next in 2026

The shift we saw in 2025 was not just technological. It was cultural.

It showed us that when work becomes visible, transformation becomes real. Clarity, once earned, creates a responsibility to share it.

In 2026, we are not just evolving our product. We are building the global community and curriculum for the leaders re-engineering work in the AI era.

A preview of the movement:

We are bringing together the people shaping work from every angle. We are giving them the systems, language, and space to do it together.

As we learned in 2025, these problems cannot be solved alone.

Across the year, this takes shape through:

• Reejig Academy: Deep-dive cohort courses for individuals re-engineering work. Designed to equip every person across the business with practical skills to lead in the AI era. Participants make informed decisions about their workforce.
• The Work Engineer Community: Our new home for conversation, learning, and co-creation. Launching in early 2026. Join the early access list to stay close to the movement. Receive updates as we build. Access new resources the moment they release.
• The Work Re-engineering Podcast (formerly Skills Connect): Leaders building the AI-powered workforce sit down with Siobhan Savage, CEO and Co-Founder of Reejig. A behind-the-scenes look at what successful AI transformation looks like in 2026.
• Live learning events and summits: From workshops on how to build agents, to senior executive dinners across the globe. We bring the world's most brilliant minds to the table to solve today's greatest workforce challenges.

Our commitment to you: We continue working alongside our customers, partners, and ecosystem leaders. We build shared frameworks, responsible AI practices, and practical infrastructure for transformation at scale.

Solving the future of work is not a solo effort. It takes a community.

Ready to shape your 2026 workforce transformation

See how Reejig maps, measures, and optimizes work. Deploy AI responsibly. Deliver real results.

• Map your organization's work at the task level
• Identify where AI adds value and where it does not
• Measure impact and align transformation to real workflows
• Get tailored pricing and see how Reejig fits your use case

Book a demo.