How AI Control Tower Brings Visibility to Agentic AI
The more autonomy you give AI agents, the more visibility you need into what they’re doing. As enterprises move from traditional automation toward agentic AI, that visibility becomes increasingly important. AI agents can interpret goals, gather information, make decisions within defined boundaries, interact with systems, and take action. That creates significant opportunities to improve service delivery and operational efficiency. It also raises a critical question: How do you know what your AI agents are doing across the enterprise? As organizations deploy agents across ServiceNow, cloud platforms, business applications, and third-party AI environments, maintaining a complete view becomes







