Meeting Customers Where They Are on the Road to Outcomes

The change ahead is easy to describe and much harder to make real. Work is moving from headcount to outcomes. That means starting with what the business needs to achieve, whether that is launching a product, entering a new market, or improving service, and then deciding the best way to get it done. The answer might be a person, a partner, a service, AI, or some blend of them all.

One customer described it with a line I love: "I don't care how many people you put on the dance floor. The dance needs to look like this." That is outcomes-based work in plain English.

The ideal state is clear, but customers still have businesses to run while they move towards it. Think of it like renovating a house while the family still lives in it. You do not tear down every wall at once because the final layout will be better. You start with the foundations, work in the right order, and keep the house livable while each room improves in turn.

Work is no different. Some organisations need better visibility before they can move to outcomes; others need to unblock one slow process or rethink how people, services and AI come together around the work. The starting points differ, but the direction does not. There are many roads to Rome; the job is to help each customer find the one they can practically take.

When I work with customers, I try to uncover what is really slowing the work down before bringing technology into the conversation. The answer is rarely "use AI".

In recruitment, the issue might be candidates dropping off because no one is keeping in touch. In workforce planning, one client described the challenge as bringing "the right competence, right time, right place" to where value is created, rather than fixing people inside departments, roles or headcount. Only when the problem is named can technology become part of the solution mix.

A team buried in requisitions does not need a lecture on outcomes-based work. It may simply need a clearer view of the wider workforce so leaders can see the whole picture before they make decisions. Once that view is in place, the next step becomes easier to spot, whether that is improving talent pools, simplifying compliance, or making matching work better.

That pattern is coming through in customer feedback too. One customer called it "soil before the corn": get the processes cleaner, the training stronger and the governance in place before expecting AI to deliver. Others are already using AI in operational settings where speed only matters if regulation, risk and public trust are protected. Some are also using more fluid, sprint-based teams to organise work around business impact rather than fixed hierarchy.

Others are asking a harder question: if hours and people used to be easy to count, how do leaders protect trust when value is measured through outcomes instead? Maturity shapes the answer. Some customers need foundations, some want help moving forward in pockets, and some are already building more multidisciplinary teams around outcomes.

AI can take on more real work, but that does not make it a human decision-maker. That distinction is key when trust is on the line. In hiring, AI can help screen candidates and speed up admin, but people still need to step in when a brief is wrong or when a candidate is weighing a life-changing move.

Governance has to make those boundaries clear from the start. Leaders need to know where AI is being used, what data it can access, when it can recommend or act, and where human sign-off is required. If the wrong call is made, someone has to own the consequence. Otherwise people will struggle to trust the system or the work it supports.

Culture is part of the same shift. Outcomes-based models ask leaders to trust results, not visible activity. As AI moves more work out of sight, the answer is not more surveillance; it is clearer thinking about what should happen, who is accountable, and how trust is protected.

That is the balance a CPTO has to hold: keeping the North Star clear while helping customers take the next step from where they are today. The shift will not happen through one big switch, or by asking every organisation to move at the same speed. It will happen when the problem is clear, the outcome is understood, and the path forward feels practical enough to trust. Meeting customers where they are is not slowing the future down; it is how the future becomes possible.