Heads of EA face stakeholder pressure to apply AI for productivity and decision quality, experimenting with use cases in analysis, governance and decision support. Inconsistent outcomes, unclear value and evolving operating models hinder scaling from isolated pilots to scaled impact. In this discussion, share insights on identifying and prioritizing AI use cases, overcoming challenges in data readiness, skills and governance, and scaling AI adoption to deliver measurable business value.