Automation with boundaries: The agentic AI operating model for enterprise orchestration
AI is already embedded across the enterprise — but most deployments are fragmented, task-level tools that don’t talk to each other. When AI agents can’t share context, pass work forward, or act across systems in real time, automation creates complexity faster than it creates value. Unlocking real enterprise impact means moving beyond isolated
AI to a coordinated platform built around where business actually happens: the interaction layer.
In this whitepaper, you’ll learn:
- Why AI scaling introduces coordination problems — and why the interaction layer is where orchestration has to start
- How RingCentral’s agentic voice AI platform (AIR, AVA, and ACE) operates as a connected system to handle work end-to-end across the full lifecycle of an interaction
- What coordination-driven automation looks like in practice: faster resolutions, fewer manual handoffs, and system-level performance gains that compound over time
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