
Most workforce strategies begin with the structure that already exists: jobs, departments, headcount and vacancies.
We begin with the work.
By understanding the outcomes an organisation needs to deliver, the work required to achieve them and the capability that work demands, we can make better decisions about what should be human, digital, automated, augmented or externally sourced.
That changes the question from “Who do we need to hire?” to “How should this work be delivered?”
Jobs bundle together tasks, responsibilities, skills and expectations that have accumulated over time. But AI doesn't encounter a job description. It encounters work.
Some work can be automated. Some can be accelerated by technology. Some depends on human judgement, creativity, empathy or accountability. And some may no longer need to be done at all.
So before changing headcount, buying technology or recruiting more people, we need to understand what sits inside the job.
We establish what work is actually being done rather than relying solely on job descriptions or organisational charts.
We look at tasks, activities, decisions, dependencies and outputs, connecting them back to the business outcomes they exist to deliver.
This gives organisations an evidence-based view of the workforce they actually have.
This is important enough that I'd give it its own stage rather than jumping directly from work to capability.
Once we understand the work, we ask what it is there to achieve.
What outcomes matter? Where is value created? What work genuinely contributes to those outcomes? What has simply remained because “that's how we've always done it”?
This starts moving workforce planning away from activity and towards Outcome-Based Working.
Now we determine what capability is required to deliver those outcomes.
And this is where your argument about skills alone not being enough belongs.
Capability is more than a list of skills. It includes knowledge, judgement, experience, behaviours, human faculties, technology and the ability to turn all of those things into an outcome.
We can then determine where capability should sit and how it should be accessed.
Now we design the right combination of:
Human employees · AI · Automation · Augmented workers · Contractors · Partners · Outsourced capability · Flexible talent
The principle is simple:
Don't default to a person. Don't default to AI. Design around the outcome.
Flexible Resource Architecture™ provides the framework for determining how required capability should be sourced, structured and deployed once the work and outcomes are understood.
Once we know what work needs to be done, the outcomes it must produce and the human capability required, talent acquisition becomes considerably more precise.
Through Find Your Talent Resourcing, we can then source and deploy the human capability identified through the architecture rather than simply replacing like-for-like vacancies.

It has been shaped by research into how AI, automation and digital labour are changing the economics and structure of work.
That research connects workforce decisions to a bigger picture: operating models, productivity, organisational design, workforce economics and the relationship between human and digital capability.
Whether you're considering AI adoption, restructuring, workforce transformation or simply need to understand what capability the organisation will need next, the starting point is the same.
See the work clearly. Design from there.
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