The Work Operating System for AI-powered work
A live log of every job, task, subtask, and workflow inside the enterprise.
Find wasted potential, unlock hours, and know exactly where agents deliver impact.
Connect all agents, recommend the right one for each task, and capture the context to build new agents.
Measure ROI based on actual work changes, not agent promises.
Replaces static job architecture with a dynamic model for humans and agents that updates as roles shift.
Shows how AI will change jobs and what skills your workforce needs.
Redesigns how work gets done and tracks every change automatically.
See the Work Operating System in action and start re-engineering work for AI.
The latest insights on re-engineering work for AI
2025 asked leaders to move fast.
Adopt AI. Reskill talent. Redesign roles.
But under that urgency sat a hard truth:
We can’t change what we can’t see.
Across industries, transformation efforts were stalling.
Skills initiatives plateaued. AI pilots failed to scale.
Workforce strategies were being built on outdated assumptions - job descriptions that no longer reflected how work actually happens.
That’s the problem we set out to solve in 2025.
Not by adding complexity, but by bringing clarity.
We believed that until work became visible at the task level, true transformation would remain out of reach and people were at risk of being left behind.
This shift didn’t start with technology.
It started in conversations… lots of them.
At private forums, roundtables, and executive summits in partnership with the likes of The Josh Bersin Company and The Learning Forum, the same 3 challenges surfaced again and again:
“We don’t know what work is actually being done.”
“We’re not sure where to apply AI… or why.”
“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:

As the thinking evolved in these rooms, senior leaders began shifting how they approached transformation. They moved from asking "where do we start?" to:
To answer those questions, they turned to Work Intelligence.
In 2025, Reejig partnered with enterprise clients to uncover the true shape of work.
Across our clients using the WorkOS, we mapped over 44,000 tasks and 36,000 skills from real roles — surfacing nearly 40% average AI potential across their work and identifying more than $7.4B in value opportunities.
This visibility reshaped how the world's leading organisations made decisions with clarity, confidence, and intent.
A closer look at the organisations 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 best-in-class examples prove that once work is visible, it can be redesigned — responsibly, and at scale.
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 that updates continuously, integrates with systems like Workday and SAP, and forms the foundation to redesign roles, align skills, and orchestrate collaboration between humans and AI at scale.
WorkOS emerged as the connective tissue — Our horizontal, agent-agnostic platform makes work visible, re-engineers how it flows, connects the right agents, and proves ROI and workforce impact.
Our platform operationalizes what we learned from every conversation, partnership, and implementation in 2025.
The shift we saw in 2025 wasn’t just technological — it was cultural.
It showed us that when work becomes visible, transformation becomes real.
And clarity, once earned, creates a responsibility to share it.
So in 2026, we’re not just evolving our product.
We’re building the global community and curriculum for the leaders reengineering work in the age of AI.
We’re bringing together the people shaping the future of work from every angle and giving them the tools, language, and space to do it together.
Because, as we learned in 2025, these problems cannot be solved alone.
Across the year, this will take shape through:
Reejig Academy: Deep-dive cohort courses for individuals re-engineering work — designed to equip every person across the business with the practical skills to lead in the AI era and 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, and access new resources the moment they’re released.
The Work Re-engineering Podcast (formerly Skills Connect): Leaders building the AI powered workforce sitting 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 will bring the world’s most brilliant minds to the table to solve today's greatest workforce challenges.
Our TL;DR commitment to you: We’ll continue working alongside our customers, partners, and ecosystem leaders to build shared frameworks, responsible AI practices, and practical tools for transformation — at scale.
Because solving the future of work isn’t a solo effort.
It takes a community.
See how Reejig can help you map, measure, and optimise work so you can deploy AI responsibly and drive real results. One of our Workforce Strategists will show you how to:
✅ Map your organisation’s work at the task level
✅ Identify where AI adds value—and where it doesn’t
✅ Measure impact and align transformation to real workflows
✅ Get tailored pricing and see how Reejig fits your use case
See the Work Operating System in action and start re-engineering work for AI.
The latest insights on re-engineering work for AI