Melissa Reeve, a former VP of marketing at Scaled Agile and co-founder of the Agile Marketing Alliance, argues in her new book 'Hyperadaptive: Rewiring the Enterprise to Become AI-Native' that most organizations fail with AI because they attempt to bolt it onto systems built for 20th-century predictability. Pilots stall, adoption plateaus, and while edges speed up, the core remains slow.
Reeve introduces the concept of 'hyperadaptive' organizations—those architected to sense faster, learn continuously, and make decisions that surpass unaided human capability. The book's central claim is that technology choice matters less than the organizational structure itself.
This perspective emerges as enterprises across industries grapple with AI adoption beyond isolated pilot projects. The challenge Reeve identifies—an operating system built for the last century running modern AI—resonates with widespread reports of stalled initiatives and underwhelming returns on AI investment.
The argument shifts focus from tool selection to deeper organizational change, suggesting that lasting AI integration requires rewiring how companies operate at a fundamental level. It signals a growing recognition that cultural and structural barriers, not technological ones, often prove the hardest to overcome.
Reeve draws on her experience at Scaled Agile and the Agile Marketing Alliance to offer a blueprint for this transformation, positioning agility and adaptation as prerequisites for AI-native operations.