The AI Impact reports examine how AI is affecting your teams across adoption, cost, quality, and workflow. Use them to see the overall return your organization is getting from AI.

The AI Adoption report shows how widely AI tools are being used across your teams. It tracks active AI users and the volume of AI-assisted commits, pull requests, tickets, points, and more. Use it to gauge whether AI adoption is taking hold.

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.

The AI Quality report examines how AI usage is affecting the quality of your teams' work. It compares metrics like bugs, rework, churn, and more for AI-assisted work against the rest. Use it to confirm that AI speed is not hurting quality.

The AI Workflow report looks at how AI is affecting development speed. It compares workflow efficiency for AI-assisted work and relates AI spend to delivery metrics. Use it to see whether AI is speeding up delivery.