Data-driven insights on Agent Sprawl trends, policy impacts, and governance strategies
As AI agents proliferate across enterprise environments, a new failure mode is emerging: not individual agent malfunction, but systemic uncontrolled proliferation. We propose a framework for understanding and measuring Agent Sprawl.
Our analysis of 47 multi-agent deployments reveals a counterintuitive pattern: beyond a critical threshold, adding more agents increases systemic risk faster than it improves task performance. We quantify this threshold across industries.
Beijing's new intelligent agent policy is the most comprehensive national-level Agent framework to date. We break down what it means for developers and enterprises outside China.
Three Fortune 500 companies share how they built and maintained agent inventories that prevented sprawl while enabling innovation. Common patterns emerge.