Leading Aviation Company
A flag-carrier airline transformed engineering decisions with AI attribution and delivery metrics.
"AI code attribution changed the conversation with leadership. We now defend our roadmap with actual numbers on AI lift, rework rate, and prompt-to-merge time instead of gut feel."
VP of Engineering
Leading Aviation Company
The Challenge
With 200+ engineers spread across mission-critical systems, leadership needed hard numbers to justify continued investment in AI coding tools. Gut-feel arguments did not survive contact with the CFO, and there was no way to compare AI lift across teams or repositories.
The Solution
iftrue connected every GitHub repo and Jira board to a unified AI-impact view. Prompt-to-merge time, rework rate, and velocity lift are now tracked per team and per AI assistant, turning quarterly roadmap defenses into data walkthroughs instead of debates.
The Results
Tracked over two quarters of AI tool deployment.
Prompt to merge
-39%Median time from first AI prompt to merged PR.
Rework rate
-50%Half as many PRs require significant post-merge rework.
AI lift on velocity
+100%Measured sprint velocity gain attributable to AI assistants.
Ready to transform your engineering organization?
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