The Seven Organizational Shifts That Determine Whether Your AI Investment Pays Off

Drawing on Mik Kersten's forthcoming book 'Output to Outcome', this piece outlines seven interdependent organizational shifts enterprises must make to realize ROI from AI investments. The shifts cover restructuring around value streams instead of functions, connecting work to strategic outcomes, unifying planning cadences, applying software modularity principles to org design, aligning objectives to shared ownership, segmenting value streams by domain (core, platform, incubation, transformation), and evolving leadership from oversight roles to hands-on 'outcome managers'. The core argument is that AI amplifies existing organizational dysfunction — adding AI to an unrestructured system produces more output without better outcomes — and that all seven shifts must be made as a system, not selectively.