ai-cost-exposure-audit

What problem does it solve?

This capability helps organizations map and quantify exposure to AI inference costs across providers, enabling proactive budgeting and vendor risk management.

Core Features & Use Cases

• Dependency inventory: identify where AI inferences are used, which provider and model tier, and whether names are hardcoded.
• Sensitivity and portability analysis: evaluate economic impact of price changes and portability of workloads to on-device or alternative clouds.
• Portfolio-level risk framing: build a structured view of cloud-bound vs. on-device candidates and generate concrete recommendations.

Quick Start

Run a three-prompt audit to map your AI inference cost exposure across providers and workloads.