
Your AI bill is reported by model. Your decisions are made by application. We show which application is spending what, and which ones can move to a cheaper model without losing quality.
Conducted entirely inside your own cloud project, this five-week AI Economy assessment analyzes existing billing data and telemetry logs to map costs by application. Using empirical benchmarking rather than guesswork, it proves which workloads can transition to leaner, newer models without sacrificing quality—and pinpoints exactly where workflows can be optimized.
Cost by Workload: Gain full visibility into your AI spend mapped directly by application using existing billing data.
Optimal Model Guidance: Receive tailored model and configuration recommendations for each workload, supported by rigorous unit arithmetic.
Production-Grade Benchmarking: Ensure output quality matches production standards by replaying real prompts against candidate models.
Evidence-Graded Cost Scenarios: Evaluate clear financial projections categorized across measured, logged, modeled, or assumed data points.
Executive Summary & Engineering Runbook: Equip leadership with strategic financial insights while providing engineers with an actionable implementation guide.