Workflow Overhauls Hold Key to Corporate AI Gains

Companies have poured resources into generative AI tools in hopes of automating knowledge work and lifting productivity, yet many have struggled to produce measurable returns. The central constraint may not be model performance, but organizational structures, approval systems and job designs built for an earlier era. When AI is layered onto unchanged operations, it may accelerate isolated tasks without improving the broader process or creating durable business value.

The latest report says repeatedly subscribing to newer AI services has failed to deliver a clear overall productivity increase for many businesses. Experts recommend redesigning workflows from end to end, then defining decision rights, accountability and handoffs between employees and AI before deploying additional tools. The report did not identify specific companies, investment amounts, performance figures or implementation dates, leaving its main conclusion focused on management reform rather than comparisons between individual models.