What it is

A practical AI scorecard introduced by OpenAI CFO Sarah Friar to help organizations evaluate the return on investment of AI initiatives.

Business use case

CFOs, technology executives, and operations leaders can apply this framework to measure AI deployments across useful work, cost per successful task, dependability, and return on compute.

Estimated value

Monetary value is uncertain and dependent on the organization, but the framework helps clarify unit economics and resource efficiency for AI projects.

Implementation

Requires minimal technical effort to adopt conceptually, but organizations must establish baseline tracking for task success rates, compute expenses, dependability, and work output.

Sources