AI cloud usage intelligence
AI Cloud Usage Audit
Map which AI cloud services your applications call, how often, and which product surfaces drive the load—so usage debates start from shared facts.
HK$28,500 · 10 business days
Teams often know the monthly AI cloud bill but not which release, feature, or tenant drove the spike. The audit reconstructs application-level usage from logs, billing exports, and instrumentation gaps you already suspect.
We inventory model endpoints, embedding pipelines, and batch jobs that touch AI cloud APIs, then tie call volume to the product surfaces that trigger them. Silent retries and orphaned cron jobs surface here, not in a surprise invoice.
You leave with a usage map, a ranked list of measurement gaps, and a short brief your engineering and finance leads can both defend in the same meeting.
Typically included
- Application-to-endpoint usage inventory
- Spike and retry anomaly notes
- Shared brief for product and finance
- Gap list for the next instrumentation pass