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
The future of work is skills-based—or is it? Despite the millions invested in defining jobs by title and skills, many organizations find their efforts fall flat. The core issue is a disconnect between how HR and business leaders think about work. HR talks in skills and roles; business leaders focus on tasks, outcomes, and results.
It’s no surprise, then, that leaders outside HR often feel skeptical about skills-based transformation. But the solution isn’t scrapping your strategy—it’s creating a common language of work that bridges the gap and brings clarity to both sides.
Organizations that succeed in workforce transformation share one thing in common: they build frameworks that make sense to business leaders and integrate easily into existing structures. A Work Ontology does just that by:
Speaking the business’s language: It captures how leaders naturally describe work—through tasks and outcomes, not just roles or skills.
Building on what’s there: Instead of starting from scratch, it integrates with existing job architectures to ensure continuity.
Providing clarity and control: Leaders gain real-time visibility into what work is being done, empowering better decisions.
Simplifying complexity: With minimal change management, it delivers maximum impact—rooted in first principles that everyone can agree on.
Organizations that pivot from a traditional skills-first approach to a Work Ontology see transformative results. We’ve experienced this first hand:
Savage Take: Skills-based workforce strategies fail when they don’t align with how the business operates. By focusing on tasks, the skills required to complete the tasks, outcomes, and a shared understanding, organizations can move beyond fragmented efforts toward a strategy that everyone can get behind.
The move toward a more connected, task-oriented view of work isn’t just an HR initiative—it’s a business imperative. Consider starting the conversation within your teams:
We’ve learned the hard way so you don’t have to. If you’re serious about future-proofing your workforce strategy, let us show you how to get it right.
Transformation starts with the right data. Together, we can create a future where there’s Zero Wasted Potential—in your people, your business, and society.
Siobhan 💜
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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