Agentic AI Stacks Require Multiple Middleware Layers To Stay On Budget

The Common Question

How should IT leaders budget for agentic AI middleware and operations tools?

The Lesson in This Case

Enterprise IT teams now face a rapidly expanding market of overlapping middleware categories, from AgentOps and cost engineering to trust and governance tools, with no single vendor covering the full stack. The complexity stems from LLMs behaving non-deterministically at scale, forcing organizations to add evaluation loops, guardrails, and token-cost tracking on top of existing DevOps tooling. CIOs allocating AI operational budgets should plan for multiple tool categories rather than assuming one platform will cover observability, evaluation, and compliance.

Originally reported by CIO. Read the full story here.