Most AI projects that disappoint did not choose the wrong tool - they chose the wrong place to apply it. Picking the right process is the single highest-leverage decision in an AI project, and it is a skill you can apply systematically rather than guess at. Here is how to find your best opportunities.
Score each process on four traits
Walk through your processes and rate each one:
- Repetition - how often does it happen? More is better.
- Rules-based - how much of it follows clear, describable logic? More is better.
- Time cost - how many hours does it consume? More means bigger payoff.
- Checkability - can a mistake be caught before it causes harm? You need a yes.
The processes scoring high on all four are your prime candidates - the profile behind what AI agents can automate.
Look where the pain is
Numbers aside, ask your team a human question: which task do they most dread, delay or complain about? Painful, repetitive work is often both the best AI opportunity and the easiest to win support for automating. The frustration is a signal.
Do not forget the hand-offs
Some of the richest opportunities sit between processes - the delays and dropped balls where work passes from one team or system to another. These are easy to overlook because they belong to no single owner, yet automating them can be transformative, as in AI agents across departments.
Prioritise, then start with one
You will usually find several candidates. Rank them by value and ease, pick the single best, and prove it with a pilot before moving to the next. Resist the urge to tackle them all at once - focus beats breadth every time.
The bottom line
Find your best AI opportunities by scoring processes on repetition, rules, time cost and checkability - then start with the single highest-value one. Learning to run that assessment is a core, practical skill in the Strategic Application of AI in Business course at London School of Business UK. Enquire today.