Forrester ARA Framework Targets Agent Sprawl As Counts Scale To Thousands

The Common Question

How do I govern hundreds of AI agents without losing control?

The Lesson in This Case

Organizations that deploy AI agents without a dedicated runtime architecture will face compounding complexity as agent counts scale from dozens to hundreds to thousands – and the governance, audit, and cost control problems that follow are not fixable by adding more tooling on top of a stack that was never designed for autonomous software. Forrester's framework traces the failure pattern directly to fragmented runtimes, legacy systems without clean interfaces, and guardrails buried inside individual agents rather than enforced at the execution layer. Senior leaders approving AI budgets today should treat runtime architecture as a foundational investment, not an afterthought – because the enterprises that made APIs a first-class architectural priority outperformed those that didn't, and the same logic applies here.

Originally reported by Forrester Research Blogs. Read the full story here.