Stop Looking for AI Use Cases. Start Allocating Intelligence.
The best AI use case framework is not an AI framework. It is a business problem and intelligence allocation framework. Start with outcomes, diagnose friction, size the value pool, ask what abundant intelligence would change, choose the right intervention, then sequence pilots and scale only what proves measurable value.
Key takeaways
- The wrong strategic question is where can we apply AI. The right question is where business outcomes suffer because intelligence is scarce, slow, inconsistent, expensive, or hard to scale.
- BASICS turns AI use case discovery into an executive discipline: Business outcomes, As-is friction, Size the value pool, Imagine unlimited intelligence, Choose the right intervention, Sequence, pilot, and scale.
- Not every intelligence problem requires AI. Some require better process design, cleaner data, clearer decision rights, rules automation, analytics, or ownership discipline.
- A mature AI portfolio is not a list of ideas. It is a ranked set of business problems, intervention choices, enabling investments, pilots, and scale decisions tied to measurable KPIs.
- The highest-value AI opportunities usually sit above task productivity, at workflow and operating model level, where intelligence changes the economics of how the business runs.