Designing an Agent Operating System for AI

This market impact report discusses the critical need for organizations to develop an agent operating system (OS) to effectively scale agentic AI. It outlines the challenges enterprises face as they adopt multi-agent systems, emphasizing that many organizations are unprepared for the complexities involved. The report highlights that successful deployments typically involve around 12 agents, with some reaching up to 20, and notes that 24% of organizations transition from proof of concept to live deployment within three months. It stresses that merely deploying agents is insufficient; organizations must design a system that governs these agents to ensure reliability and trust. The report also identifies the urgency for leadership to address the AI Velocity Gap, where the rapid advancement of technology outpaces organizational readiness. It concludes that the future of enterprise AI will depend on those who can effectively design and implement an agent OS, transforming agentic AI from isolated pilots into cohesive, scalable systems that enhance operational efficiency.