Leading Aviation Company

A flag-carrier airline transformed engineering decisions with AI attribution and delivery metrics.

AI Engineering Intelligence

Q1 2026

Results Overview

• Prompt to merge: -39%
  Before: 6.2h
  After: 3.8h

• Rework rate: -50%
  Before: 22%
  After: 11%

• AI lift on velocity: +100%
  Before: 0%
  After: 28%

12-week trend trending up

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%
  Before: 6.2h
  After: 3.8h
  Median time from first AI prompt to merged PR.

Rework rate

• -50%
  Before: 22%
  After: 11%
  Half as many PRs require significant post-merge rework.

AI lift on velocity

• +100%
  Before: 0%
  After: 28%
  Measured sprint velocity gain attributable to AI assistants.