Agentic FinOps: Governing the Runaway Cost of LLMs
How leading enterprises are instituting continuous FinOps controls for the generative AI era.
Enterprise AI has entered its agentic phase. In this piece, we lay out the reference architecture our team has field-tested with dozens of Fortune 500 organizations across banking, healthcare, retail, and manufacturing.
The three-layer stack
We recommend organizing the enterprise agent stack into three composable layers: an orchestration layer for planning and tool use, a grounding layer for retrieval and enterprise data access, and a governance layer that intercepts every action for policy checks, telemetry, and human oversight.
Governance is a product, not a checklist
The winning teams we have observed treat governance not as a compliance afterthought but as an internal product with its own roadmap, SLAs, and telemetry. Guardrails, evals, and red teaming are shipped alongside every capability.
Where to start
Pick a narrow, high-frequency workflow with clear ground truth. Instrument it, ship a v0 in six weeks, and let your evals — not your intuitions — tell you when to expand scope.
This is a Nelara Insight preview. Full publication with detailed reference diagrams and code samples available upon request.