Enterprise AI has made individuals faster. But it has not necessarily made organizations more agile.

AI assistants can draft, agents can execute tasks and automation can accelerate transactions. Yet many enterprises still struggle to translate changing business conditions into new workforce decisions, redesigned processes and coordinated action. The challenge is no longer simply giving people access to more intelligence. It is building an organization capable of responding to change while change is happening.

The Autonomy of Work, developed by Jason Averbook, Darwinbox and People Matters, explores what comes next: moving from automating work to creating the conditions in which people and AI can adapt work together, while decision rights, accountability and safeguards remain clear.

What you’ll learn

Download the whitepaper to explore:

  • Why adding more AI does not automatically create enterprise agility

  • How the Sense–Judge–Redesign loop can connect intelligence with action

  • Why organizational context becomes critical as AI gains greater agency

  • How human judgment, decision rights and accountability can be designed into AI-native work

  • What an AI-native HCM architecture needs to support autonomy across the enterprise

  • Four actions CHROs can take to steward the conditions for autonomy

  • A practical Autonomy of Work Readiness Checklist for evaluating whether your technology can handle consequential, unfamiliar and cross-functional scenarios

Download The Autonomy of Work

Discover the framework, architecture and readiness questions CHROs can use to move from AI-enabled work to an AI-native organisation.