Who on-calls an AI? This is the unresolved crisis of agent ownership

As organizations deploy more autonomous AI agents into core workflows, the biggest unresolved issue is operational ownership: who monitors, supports, and is accountable when an AI system fails or behaves unexpectedly. For CIOs and technology leaders, this is a strategic IT governance problem, not just an engineering one—requiring clear incident response, escalation paths, control frameworks, and cross-functional accountability before AI agents can be safely scaled.