Making time for change
and giving people a reason to act.

Learning the tools is often the quickest part.

It is easy for the conversation about AI to become a conversation about tools. The interfaces are increasingly accessible and the products change quickly, so learning today's features can feel like progress. The more demanding question is whether we are prepared to reconsider how we think and how the business works.

AI gives us another way to explore that question. We can ask it to challenge a proposal, offer a different interpretation or identify assumptions we have overlooked. It can help us examine possible biases in our reasoning, provided we also question its suggestions and check them against the evidence.

Some of the assumptions worth revisiting sit deep in a business: what it costs to serve a customer, where scarce expertise is needed, which steps create value and which create friction. As those conditions change, experience needs to be examined as well as applied. Unlearning a familiar way of working can take as much effort as learning something new.

We use absorption to describe what happens when AI becomes part of how people think, question, decide and work together. That goes beyond introducing tools into an existing process. It can mean changing the process, the roles around it and the assumptions on which the business operates. Our Mission, Minds and Machines framework brings those choices into the same conversation.

Change still needs room in the working week.

People who are fully occupied meeting today's commitments have little room to try another approach, discuss what happened and practise it again. That is why the pathway begins with creating time for change. We start with work that already needs doing and help people find a better way to do it.

The first ambition is to do five days' work in four. That released day gives people room to change the work further, with five days in three as a subsequent ambition where the evidence supports it. Any gain needs to include the time spent checking, reviewing and correcting the output. Leaders then need to protect the capacity and decide what it will be used for.

What the organisation rewards shapes what happens.

Time makes change possible, but incentives can still hold it back. A leadership team may agree that a shared customer outcome matters while each function is measured on a separate target. People can be asked to experiment while knowing that an unsuccessful attempt will count against them. In those circumstances, continuing with the familiar approach can be a reasonable response to the organisation's expectations.

The question reaches beyond remuneration. Recognition, promotion, budgets, status and the way leaders respond to challenge all influence what people choose to do. The business model may need attention too. For example, a business that charges for time may need to reconsider how it creates and captures value as the effort needed for some work falls.

The 10/10/10/10 capacity model opens up these choices by asking where released time should go. Whether the priority is retention, insourcing, emerging risks or cross-functional growth, leaders need to consider whether their measures and rewards support that allocation.

Evidence gives leaders something concrete to discuss.

Throughout the sessions, real work gives us a basis for reflection. Where recording is agreed, transcripts help us revisit how a problem was framed, what happened when someone challenged an assumption and how a decision was reached. Combined with the results of workflow experiments, that evidence can bring a wider constraint into view.

AI can help identify passages and compare patterns, but the words alone do not establish a person's motives or explain an organisation's culture. We check the context with the people involved and distinguish what was observed from what we think it might mean. As the evidence builds across functions, leaders have a more specific basis for discussing priorities, incentives and the choices that need their attention.

The organisation has to make the choices and carry them through.

TIP helps people create capacity, question assumptions and work through the implications with experienced practitioners. PERSONAL and TEAM establish the practice in everyday work. FUNCTION, STRATEGIC and ENTERPRISE bring the evidence into decisions about the wider business.

While we help you see the choices, your organisation still owns them and needs to put them into practice. Its leaders decide what to reward and recognise, which targets or responsibilities need to change, and who will carry the decisions through. The follow-up is to review what actually happened and whether the new way of working is taking hold.