Replace AI Seat Counts With Cost per Accepted Task
Primary source: https://openai.com/index/a-scorecard-for-the-ai-age/. OpenAI's July 17 scorecard argues that AI value should be measured through useful work, successful-task cost, dependability, and return on computeβno
Primary source: https://openai.com/index/a-scorecard-for-the-ai-age/.
OpenAI's July 17 scorecard argues that AI value should be measured through useful work, successful-task cost, dependability, and return on computeβnot adoption alone.
Use one workflow ledger:
workflow,attempts,accepted,retries,review_hours,model_cost,platform_cost
invoice-match,120,91,24,8.5,180,70
complete_cost = model + platform + review_hours * loaded_rate
cost_per_accepted = complete_cost / accepted
acceptance_rate = accepted / attempts
Report attempted, accepted, rejected, escalated, and silently abandoned work. A cheaper token price can lose if it causes more retries or review.
| Gate | Example policy |
|---|---|
| quality | zero irreversible false actions |
| evidence | 95% of runs traceable |
| economics | downside case below baseline |
| ownership | named workflow and incident owner |
The numbers above are illustrative. Compare the same outcome and quality threshold against the existing process, then run sensitivity on review time and acceptance rate.
This scorecard does not prove causality or capture every strategic benefit. Which denominator would change your current AI ROI story most: accepted work, retries, or reviewer time?
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.