The ROI brief structure
1. Current AI spend baseline
Monthly spend by provider, model, workflow, tokens, GPU serving and training job category.
2. Waste source breakdown
How much spend appears tied to context bloat, irrelevant RAG, retries, cache misses, routing or GPU idle time.
3. Integrity guardrails
Which savings opportunities are safe, which require verification, and which should not be optimized blindly.
4. Pilot economics
Estimated pilot scope, expected payback, required telemetry and decision criteria for expansion.
Key executive message
AI cost reduction is only valuable when the answer remains reliable. ML Mind optimizes for savings that survive integrity checks.