Before You Scale AI: The Foundations That Make Digital Process Transformation Work

Many organizations follow a similar trajectory. They identify a high-impact use case, pilot an AI-enabled solution, and demonstrate early value—often in the form of faster decisions, reduced manual effort, or improved visibility. That success creates momentum. Leadership attention increases and the pressure builds to scale. This is where problems begin. Without the right foundations, scaling does not necessarily replicate success. 

In February 2026, APQC members convened for a roundtable discussion on how digital tools and emerging technologies are reshaping the process management landscape. Led by APQC’s Madison Lundquist (Research Lead, Process and Performance Management) and panelists Jeff Varney (Director of Advisory Services, APQC), Jim Zurn (Sr. Manager, Process Engineering, CVS), and Dave Jackett (Digital & Transformation Supply Chain Leader, General Mills), the conversation explored key themes including AI governance, integrating AI across processes, and identifying where digital capabilities can drive greater efficiency and performance.

A clear pattern emerged alongside the emphasis on process-first thinking: even organizations that get the strategy right often struggle at the point of scale.