Artificial intelligence has quickly become a board-level business priority. Organisations are investing in generative and agentic AI, automation and intelligent systems with the expectation that these technologies will reduce costs, improve efficiency and increase productivity. The potential is significant.
But there is a risk in assuming that introducing AI will automatically make an organisation more productive. Technology can make work faster, but faster doesn’t necessarily mean better.
Technology can’t fix a broken process
One of the biggest mistakes organisations can make is starting with the technology rather than the problem.
Before asking what AI can automate, organisations should understand how work currently happens. Where are delays occurring? Where is information duplicated? Where are employees spending time on low-value activity? Which steps create unnecessary approvals or rework?
Imagine a process that requires six approvals before a customer request can be completed. AI might make each approval faster, but if several of those approvals are unnecessary, the underlying problem remains. The organisation has simply automated an inefficient process.
This is why automation and optimisation are not the same thing.
Where does the capacity go?
There is another important question. If AI saves an employee five hours a week, what happens to those five hours?
The productivity benefit only becomes meaningful if the organisation understands how the additional capacity will be used. Perhaps employees can serve more customers, resolve issues more quickly or focus on higher-value work.
Without that plan, AI may simply make people less busy rather than more productive.
AI still needs effective management
AI transformation is not purely a technology exercise. It changes how people work and can affect responsibilities, processes and decision-making.
Managers therefore have an important role in ensuring that new technology actually delivers the expected benefit.
Our approach to operational improvement focuses on understanding people, processes and systems together, rather than treating technology as a solution in isolation.
AI should be approached in the same way.
The most successful organisations will not necessarily be those that invest the most in AI. They will be those that understand where AI can solve a genuine operational problem and create measurable value.
The question isn’t “How can we use AI?” It’s “Where can AI make a measurable difference to the way our organisation operates?”
