01The Challenge
The team already had deep AI technology and product expertise. It wanted to begin with live business contexts and explore how AI could enter problem definition, solution design and cross-team collaboration. This was not AI knowledge training; it was a reconsideration of the company’s own way of working.
02Our Approach
Six teams worked across three real business contexts. They reframed problems, co-created with AI, designed solutions, validated quickly and presented outcomes — while continually asking: what are we truly solving, where should AI contribute, and what judgement must people retain?
03What Emerged
When AI can rapidly generate information and options, the quality of the question, the criteria for choice and the team’s judgement become more important. Participants moved from asking how to use AI to redesigning how people and AI work together.
04What the Team Took Forward
Each team left with a clearer problem definition, an AI-enabled direction, a lightweight prototype and a path to further validation. They also saw that AI-native is not about adding one more tool; it is about redesigning how work gets done.