Technology changes quickly, but ways of working and operating models evolve much more slowly. AI creates the opportunity - organisations only realise the value when they redesign how work, roles and decision processes are structured around it.
Article by Natalie Shiels , Founding Partner at sister company Greyhound
AI Is Not the Transformation. Work Design Is.
The current conversation around AI in organisations is misframed.
HR and People leaders are being asked to “implement AI,” as though adoption itself is the objective. But across organisations, a different pattern is emerging: the primary constraint is not technological capability. It is the design of work itself.
Most organisations don’t have an AI problem. They have a work design problem.
Most enterprises are attempting to apply a transformative technology to an operating model that has remained largely intact for over a century: one built on jobs, hierarchies, and static role definitions. These constructs were designed for coordination and control in an industrial context. They persist today in how organisations structure roles, allocate accountability, and measure performance.
AI, by contrast, operates at the level of tasks, decisions, and workflows.
The mismatch is becoming increasingly visible.
AI is being deployed into existing systems of work: chatbots layered onto service models, copilots embedded into individual tasks, automation introduced into discrete processes. Yet the underlying architecture remains unchanged. Workflows are fragmented, decision rights unclear, and accountability anchored to roles rather than outcomes.
In this context, it is unsurprising that productivity gains have been uneven.
In many cases, organisations are simply accelerating existing inefficiencies or using AI as a more sophisticated search layer, rather than rethinking how work should be done.
Fundamentally, most organisations are still earlier in this journey than they assume. Many functions have yet to meaningfully examine their workflows, identify where automation will deliver the greatest return, or redesign work around those opportunities, let alone engage with more advanced concepts such as agent-based orchestration.
Instead, the dominant pattern has been to layer AI onto existing roles and processes, asking individuals to incorporate new tools into how work is already done. This approach misses a more fundamental question: given what AI can do well, and what humans do distinctly well, how should work be redesigned from first principles?
The distinction matters. AI systems are highly effective at tasks that are high-volume, pattern-dependent, and iterative. Humans retain clear advantages in judgment, ethical reasoning, relationship management, and creative synthesis. The organisations seeing meaningful gains are not replacing roles but restructuring them: designing work around this complementarity rather than forcing it into legacy models.
The organisations realising meaningful value are taking a different approach. They are redesigning work from first principles: reconfiguring workflows, decision rights, and the distribution of work between humans and machines.
This requires a shift from viewing AI as a tool to be used, to understanding it as a component within a broader system of work. Increasingly, this looks less like individuals using technology, and more like humans orchestrating networks of activity across people and intelligent systems.
For Senior business and HR leaders, this reframes the mandate.
AI adoption is not, at its core, a technology agenda. It is an organisational design problem - one that sits squarely within the remit of senior HR leadership.
This is not a technology transformation. It is a work transformation.
And it raises a more fundamental question: if we were designing work today, with a clear understanding of what humans and AI Agents each do best, what would we design differently?
Few organisations have yet engaged with that question in a systematic way.
Those that do will not simply improve efficiency. They will redefine how value is created and reshape the role of leadership in the process.
And increasingly, they are recognising that this is not just a capability gap, but a design challenge, one that most organisations are not set up to solve alone.
