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
Too many organizations underestimate the importance of understanding the full scope of work being done. This crucial oversight stems from a fundamental gap: HR doesn’t own the work; this responsibility lies within the business. Traditionally, there has been no way to see what work is actually being done at scale.
Attempts to solve this with job architectures and skills ontologies miss the mark. They overlook the fact that understanding tasks is crucial, as tasks form the core of the work being done and their outcomes. We’ve focused too much on getting visibility of talent without truly understanding the work.
From my personal experience, last year when I was reinventing my workforce, I struggled with just a view of skills. Skills alone did not reveal the work being done, making it difficult to reorganize my workforce or adopt AI. Skills signal that someone could perform a task, but they don’t show what work is being done. Without this insight, it was hard to strategically reorganize the workforce or embrace AI.
People have skills > work has tasks > A Task is a Skill in action
That’s why we updated our Skills Ontology to a Work Ontology, and why it won Product of the Year 2023 by HR Executive. Now, every customer can see their work at a deeper level, including:
It’s crucial that workforces have this intelligence about their business, as it solves workforce challenges and improves the match quality of work to workers. We’ve been so focused on "talent intelligence" that we’ve missed solving the actual problem: getting the work to the right worker.
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See the Work Operating System in action and start re-engineering work for AI.
The latest insights on re-engineering work for AI