AI Needs Architecture Before Automation w/Robert Sheesley - #422 (64:06)
You've Been Heard Podcast, Thursday, May 7th, 2026
CIOs must establish AI architecture and organizational change management before pursuing automation to move beyond isolated experiments into sustainable business value.
In this episode of the You've Been Heard podcast, Robert Sheesley discusses how CIOs can transition from experimental AI projects to durable business value through proper architecture and organizational alignment.
He emphasizes the importance of capability models, future-state thinking with four architecture layers (intelligence, semantic/contextual, data source, and data management/governance), and involving business stakeholders as partners rather than imposing solutions on them.
Sheesley stresses that AI skills development requires phases from foundational experimentation to operational embedding, and that CIOs must balance human and digital capital while ensuring organizational change management is properly resourced. The conversation explores why understanding how work actually happens is critical to successful AI deployment and connecting technology investments to measurable KPIs.