Five Ways to Evaluate AI Agent Orchestration Platforms
InfoWorld, Wednesday, August 5th, 2026
Essential criteria for selecting AI orchestration platforms as enterprises scale agent deployments.
AI agent orchestration platforms coordinate role-based and task-based agents, tools, data, and people into multistep workflows using open standards such as MCP and A2A.
Key evaluation areas include observable control with governance guardrails, secure and resilient operations meeting compliance requirements, integrated testing and feedback mechanisms, interoperability with open standards, and vendor viability with a clear roadmap. Organizations should assess how platforms handle oversight of autonomous decisions, long-running processes, audit trails, and continuous outcome evaluation.
As enterprises move from proof of concept to production, the right platform determines whether workflows and governance scale across thousands of agents.