A LONG LIST CAN HIDE A STRATEGIC PROBLEM
Ask employees where AI could be used and the response can be overwhelming. Almost every function now contains plausible AI use cases. The challenge has changed: it is no longer finding possibilities, but choosing between them.
An organisation may identify fifty AI use cases and still have no meaningful AI strategy, because a list of possibilities does not reveal priorities.
THE BEST USE CASE MAY NOT BE THE MOST IMPRESSIVE
AI naturally attracts attention when it performs something people previously considered difficult or impossible. That creates a bias towards technological sophistication.
But organisations do not generate returns from sophistication. They generate returns from outcomes. A relatively simple application deployed in the right part of a business may create considerably more value than an advanced solution addressing a marginal problem.
OPPORTUNITIES COMPETE FOR THE SAME RESOURCES
Every initiative consumes capital, management attention, technology resources, data resources, change capacity and employee time. Selecting one AI initiative is therefore also deciding what not to pursue.
That makes prioritisation a capital-allocation question, not merely a technology question. The relevant comparison is not simply whether an idea has a positive business case, but whether it represents a better opportunity than the alternatives.
VALUE CAN EXIST IN UNEXPECTED PLACES
The most significant AI opportunities may not emerge from an AI workshop. They may emerge from a conversation about lost customers, working capital, capacity, pricing, service quality, growth constraints or the cost of complexity.
Start with those business questions and AI use cases begin to look different. Some disappear. Others become much larger. Entirely new opportunities can become visible.
TECHNOLOGY SECOND DOES NOT MEAN TECHNOLOGY IS UNIMPORTANT
Quite the opposite. Choosing the right technology becomes more important once the business objective is clear. The difference is sequence.
Instead of Technology → Use Case → Business Case, consider Business Opportunity → Value → Solution. AI may ultimately be the solution, but now there is a reason for choosing it.
PERHAPS THE OPPORTUNITY IS ALREADY THERE
Most established organisations contain years of accumulated processes, customer interactions, operational data, systems, knowledge and commercial experience. Somewhere inside that complexity are likely opportunities that have never been examined through a value lens.
The question is whether the organisation can identify them — and distinguish the interesting ones from the important ones.