Use cases

Find the cost behind the workflow.

See what to track, how to investigate expensive agent runs, and which changes to test in your product.

Voice AI · Underwriting · Claims · Patient care

Would another model have earned you more?

Reprice your recorded calls on GPT, Claude and Gemini. See which steps of a call, submission, claim or care workflow could run on a lower-cost model, and the quality checks to run before you switch.

Explore the use case →Voice AI platforms & agencies

Know what every call costs, and who pays for it.

Add model, speech and carrier costs up to one cost per call, then compare each client's calls with what they pay.

Explore the use case →Coding agents & DevTools

When one code change becomes an expensive retry loop.

Connect generation, compilation, and repair attempts to one task. Understand what successful and unsuccessful runs cost.

Explore the use case →Regulated enterprises

See agent costs without collecting sensitive content.

For teams building AI in healthcare, financial services, and the public sector. Share usage facts while keeping prompts, PHI, and customer records out of telemetry.

Explore the use case →LegalTech & Compliance

Understand the economics of document extraction.

Compare prompt versions, model costs, and reported cached-token usage without sending contracts or extracted content.

Explore the use case →Financial Services & Advisory

See the full chain behind a research report.

Link enterprise MCP tools and downstream model calls to report-level costs, customer revenue, and margin.

Explore the use case →Multi-Tenant B2B SaaS

Know which customers earn their margin.

Attribute AI usage to tenant IDs, investigate expensive power users, and evaluate pricing against real customer cost-to-serve.

Explore the use case →Customer Support Platforms

Resolve the ticket. Protect the margin.

Investigate repeated agent steps and growing context. Connect support costs to customer revenue and fixed-fee contract economics.

Explore the use case →