When AI agents start handling identity, workflow state, and escalation logic, the security problem shifts from model quality to enterprise control.
Enterprise architecture is the discipline that can keep transformation from turning into fragmentation, especially as organizations bring AI, cloud services, and legacy systems into the same operating model.
As AI spreads through corporate workflows, the sharper divide may be between organizations that govern their AI stack and those that depend on outside platforms for the core intelligence layer.