The AI ROI report shows where your AI spend is going and what you get for it. It breaks spend down by tool, model, project, team, and person, and weighs it against output. Use it to judge whether AI tooling is worth the cost.

Default Metrics

Token Spend by AI Tool Name

The total cost of used tokens, broken down by the name of the AI tool used.

Token Spend by Model

The total cost of used tokens, broken down by the AI model used.

Token Spend by Project

The total cost of used tokens, broken down by the epic (level-1 parent ticket) that the work rolls up to.

Token Spend by Contributor Team

The total cost of used tokens, broken down by the team of the person marked as an assignee or author of the work.

Token Spend by Contributor

The total cost of used tokens, broken down by the person marked as an assignee or author of the work.

Lines Committed vs. Token Spend

The number of code lines added in a commit, compared to the total cost of used tokens.

Commit Count vs. Token Spend

The number of authored commits, compared to the total cost of used tokens.

PR Merge Count vs. Token Spend

The number of pull requests merged, compared to the total cost of used tokens.

Story Points Completed vs. Token Spend

The number of story points from completed tickets, compared to the total cost of used tokens.