Only 21% of companies have redesigned their workflows for AI. The other 79% are still organizing around departments while their customers demand seamless experiences across teams.
McKinsey analyzed 25 organizational attributes and found workflow redesign (not tools or models) has the biggest effect on EBIT impact from gen AI.
Microsoft’s 2025 Work Trend Index confirms it. “Teams form around goals, not functions, with AI helping employees do more and work faster.”
Harvard studied cross-functional teams at P&G using AI and found: “You stop caring as much about the normal boundaries of your job.” When AI helps people think beyond specialized training, traditional silos break down naturally.
Based on these three independent studies, the gap between the job to be done and where expertise resides is shrinking. AI doesn’t care about silos. Neither do customers.
Companies are just beginning to build cross-functional workflows aligned to customer outcomes. The enablement and governance frameworks to support this are emerging now.
My upcoming newsletter on Thu, Nov 13 breaks down the AI Work Chart Maturity Model showing the four stages of this transformation, what Journey Teams look like in practice, real results from companies making this shift, and where to start without reorganizing everything at once.
Subscribe to my newsletter (Practical AI in Go-to-Market) to get it directly in your inbox. See link in the comments. I’ve also included links to the 3 research studies.