05/28/2026
Many AI initiatives start with the wrong question.
“What can we automate?”
“What chatbot should we build?”
“What use case should we show leadership?”
Those questions are not wrong, but they often skip the step that determines whether AI creates business value: problem framing.
The better question is: what friction is the business already working around?
Shadow spreadsheets. Duplicate data entry. Inconsistent reporting. Abandoned workflows. Repeated escalations. These are not just operational annoyances. They are signals that something deeper needs to be understood before a solution is funded.
MILL5’s new article explores how enterprise leaders can use AI to surface those signals, reframe the problem, and move from experimentation to measurable impact.
See how better framing changes the AI roadmap: https://hubs.li/Q04hS_Gh0