AI agents seem like an inevitability these days. Most enterprises already use an AI application and may have deployed at least a single-agent system, with plans to pilot workflows with multiple agents.
Managing all that sprawl, especially when attempting to build interoperability in the long run, can become overwhelming. Reaching that agentic future means creating a workable orchestration framework that directs the different agents.
