The most expensive training option is doing nothing

As the end of the financial year approaches, a familiar conversation starts in many businesses. Managers look at the remaining training budget, realise there is still money available, and begin trying to work out whether it should be used now or rolled into another year and “we’ll deal with it later.”

The problem is that capability gaps rarely stand still. Most organisations do not talk about these as capability problems. They tend to frame them as process issues, workload issues, or technology limitations. In my experience, technology is rarely the problem.

Businesses have invested heavily in analytics platforms, cloud data tools, automation, and now AI. In many cases, they already possess more technical capability than they use. The bigger issue is that people's capabilities have not kept pace with the technology around them.

Over time, this creates something many organisations do not notice until it starts causing pain: capability debt.

Capability debt is a lot like technical debt, except its impacts are often broader and longer-lasting. Instead of systems becoming difficult to maintain, teams become increasingly dependent on individuals. Problems are worked around instead of solved because nobody has the time, skills, or confidence to change the process properly.

At first, these workarounds seem manageable. A spreadsheet is added “temporarily.” One analyst becomes the go-to person for every reporting request. Teams avoid using certain functionality because only a few people understand it properly. Managers spend more time validating information before acting on it.

Over time, those small compromises accumulate into the sort of friction that drags down delivery and frustrates good people.

I have seen organisations invest in modern platforms while still relying on a handful of key people to keep reporting and analytics functioning day-to-day. From the outside, the technology looked modern. Internally, the business was still operating with fragile foundations in capability and high dependence on key individuals. These gaps become much more obvious when AI enters the conversation.

A lot of organisations are hoping AI will improve productivity quickly, but many are still struggling with foundational capability in data, analytics, and critical thinking. AI helps capable teams move faster, but struggles to make a positive impact in environments with weak foundations. What it does not do is replace judgement, context, or understanding.

The organisations getting the most value from AI are usually the ones that have already invested in building stronger capability across their teams. Their people know how to interpret outputs, challenge assumptions, ask better questions, and apply insight properly within the context of the business.

The managers handling this well tend to look at things differently. They look at where the organisation is consistently losing momentum and ask what capability gap is sitting underneath the problem. Sometimes the answer is technical, and sometimes it is analytical thinking, data literacy, communication, or confidence in using existing tools effectively.

Of course, not all training creates value. Most people have attended courses that sounded useful but changed very little once they returned to work. Generic training disconnected from real operational problems rarely sticks.

Training that has a lasting impact is practical and immediately relevant. People need to apply it quickly, solve real problems with it, and see the improvement in their own work.

What organisations often underestimate is how capability compounds across a team. One person becoming more capable improves the effectiveness of the people around them. Teams become less dependent on key individuals, and conversations improve. Decisions happen faster because people trust the data in front of them. Over time, those gains increase, and the capability debt decreases.

The organisations pulling ahead are not always the ones buying the most technology. Often, they are building stronger capabilities around the technology they already have.

Most organisations notice the unused annual training budget for a few weeks. They have felt the capability debt for years. So before the financial year closes out, it is worth asking a simple question: where is capability debt quietly building inside the organisation today?

If that question is hard to answer, that is usually a good sign of where to start. The training that makes a difference is built around the problems a team is actually working on, not pulled off a shelf. If it would help to map where the gaps sit and what a practical programme might look like for your team, get in touch with the team here at Montage and me. We would be glad to talk it through.