The AI agent collision problem coming for every enterprise – and how to solve it

As enterprises scale AI agents beyond isolated use cases into critical business processes, the biggest risk is "agent collision"—multiple agents taking conflicting or redundant actions that disrupt operations, increase cost, and erode return on AI investment. For CIOs and technology leaders, the strategic takeaway is that AI success now depends on an orchestration layer and independent context model that provide end-to-end visibility, governance, and coordination across agents, systems, and human workflows. IT organizations will need to shift from deploying point solutions to managing a composable operating model that can safely industrialize AI at scale.