Not because the AI wasn’t good enough. But because of what was missing around it.
“Capable agents failed not from weak technology,” they write in their latest book, “but from a missing management layer.”
That missing layer is the subject of Bornet’s most recent and perhaps most practically urgent work: The Human-Agent Orchestrator: Leading and Scaling AI-Driven Organisations (May 2026), co-authored with Jochen Wirtz and a team of leading AI experts.
For the past two years, the conversation about AI has been dominated by questions of technology: which tools to use, which models to deploy, and how to run a pilot. Bornet argues that this framing needs to move on to reflect the reality on the ground.
As the authors put it directly: “The real shift isn’t just building AI anymore. It’s orchestrating it, leading it, and integrating it into how work gets done.”
A new discipline for a new era
The Human-Agent Orchestrator is built on a foundational insight drawn from four years of research across 432 organisations: the difference between organisations achieving 200% productivity gains from AI and those achieving 20% is not the technology they use. It is how they are managing it.
This is a striking and important finding. It means that the competitive advantage in the agentic era is not primarily a technology advantage. It is a management and leadership advantage. And that changes where organisations need to focus their energy.
Bornet and his co-authors introduce Human-Agent Orchestration as the new discipline that addresses this gap: a structured approach to designing, directing, and scaling work across hybrid teams of humans and AI agents. It is the layer that has been missing from most AI transformations.
As Andrew Ng, founder of DeepLearning.AI and Coursera, writes in his endorsement: “The magic isn’t in bigger AI models. It’s in orchestration.”
The last generation to manage only humans
The book opens with a statement that is both sobering and clarifying: “We are the last generation to manage only humans. The next will manage hybrid teams of humans and AI agents.”
For most leaders, this has not yet fully landed. The day-to-day reality of running a team, meeting targets, managing performance, and navigating organisational dynamics still feels overwhelmingly human. But the transition is already underway, and the organisations that begin building the leadership capability to manage hybrid teams now will find themselves significantly ahead of those that wait until the transition is forced upon them.
This is not a distant horizon. As Bornet’s research makes clear, the organisations already operating at higher levels of agentic maturity are not waiting for the technology to mature further. They are investing in the management capability, governance frameworks, and human development that make the technology work.
What orchestration actually means
The concept of orchestration is a deliberate and well-chosen metaphor. A conductor does not play every instrument. They do not write every note. Their role is to understand the full composition, to bring each part of the ensemble in at the right time, and to shape the overall performance toward a coherent outcome.
This is precisely the shift in leadership that Bornet describes. The old model of leadership, controlling the work, managing the tasks, directing the doing, is being replaced by something more complex and more consequential: designing the system that produces the work, setting the parameters within which both humans and AI agents operate, and ensuring that the combined output is something better than either could achieve alone.
As Marshall Goldsmith writes in his foreword: “The era of the user is ending. The era of the orchestrator has begun.”
This is not a passive transition. Leaders who cannot orchestrate AI will not simply fall behind — they will be replaced by those who can. The research is unambiguous on this point. The organisations achieving the greatest gains from AI are not the ones with the most advanced technology. They are the ones managing it differently.
Who is Pascal Bornet?
Pascal Bornet is not a commentator on AI. He is someone who has spent decades building it, implementing it, and studying its impact at the coalface. Bornet spent over two decades as a senior executive at McKinsey and EY, where he established and led their Intelligent Automation practices and implemented AI and automation initiatives for hundreds of organisations worldwide. He has been consistently ranked among the top 10 global leaders in AI and automation, is a member of the Forbes Technology Council, and has delivered keynotes at over 100 events worldwide each year. He has authored four best-selling books on the subject: The Human-Agent Orchestrator, Agentic Artificial Intelligence, Irreplaceable and Intelligent Automation.Â
Pascal Bornet will be sharing his insights at an exclusive, invitation-only event in Australia later this year, hosted by PhoenixDX.
How PhoenixDX helps organisations with their AI strategy
At PhoenixDX, we work with organisations at the intersection of AI strategy and delivery, helping leaders move beyond the question of which tools to adopt, and into the harder, more consequential work of how to lead AI-driven transformation. We combine deep advisory expertise with hands-on implementation capability, working alongside executive teams to define their AI strategy, design the governance and operating models that make it work, and build the practical foundations – technical, organisational, and human – that turn ambition into measurable outcomes. The insight at the heart of Bornet’s research is one we see reflected in the organisations we work with every day: the difference between AI that transforms and AI that disappoints is rarely the technology. It is the clarity of strategy, the quality of leadership, and the rigour of execution. That is precisely where PhoenixDX operates.