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The Real Cost of Enterprise Inference
Newroz InsightsEnterprise AI Practice11 min read
What large-scale deployments actually cost to run — and the architectural choices that move the number most.
Inference spend is the line item most often underestimated in enterprise AI business cases, and the one that grows fastest after launch.
Across the deployments we operate, the dominant cost drivers are retrieval design, context discipline, and routing policy — not headline model pricing.
Run cost is an architecture decision made months earlier, not a procurement negotiation held later.
Organisations that instrument cost per resolved task from the first release retain control. Those that measure only aggregate spend discover the problem a year late.
Treating run economics as an architectural concern, reviewed quarterly, is what keeps a successful programme affordable at scale.