AI & Enterprise
In AI era, knowing what to stop becomes more critical for companies
A new view is emerging that in environments adopting artificial intelligence, companies need stronger systems for deciding what to stop quickly, not just what to build fast. With cloud, software-as-a-service and modern AI tools, firms can create prototypes in days by combining existing services. That also means misjudged projects can drain budgets and capabilities sooner. The proposed approach is a “kill engine” that embeds evidence-based reviews and early stop criteria into portfolio discipline.
