AI-Powered Software Development Lifecycle (SDLC) Transformation at a Leading North American Airline with AWS
Use case typeCode assistantUpdated Jun 13, 2026
A leading North American airline addressed fragmented and inconsistent Software Development Lifecycle (SDLC) practices to improve delivery speed, quality, and operational excellence. Partner Xebia integrated AWS and generative AI technologies across the SDLC to drive productivity and quality gains.
- Organization
- Leading North American Airline
- Industry
- Professional Services
- Location
- United States
- Published
- September 2025
Reported outcomes
80%
quantified impactQuality & accuracy
+20%productivity−30%accuracy
Strategic outcomes
Speed & agilityImproved engineering delivery speedNew product / capabilityApplied AI across SDLC workflowsBetter decisions & insightIntroduced real-time delivery monitoringCustomer experience & trustImproved operational excellence and customer experience
Catalog median for quality & accuracy deployments: +90% across 282 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 3
- 1Software Development Lifecycle Automation
- 2Generative AI in SDLC
- 3Engineering Productivity
The airline suffered from fragmented SDLC causing uneven delivery speed, inconsistent quality, and lack of visibility, impacting operational excellence and customer experience.
- Applied AI-assisted automation and generative AI tools across 49 identified use cases in SDLC phases including story generation, architecture design, code generation, CI/CD optimization, test automation, and site reliability engineering tasks.
- Deployed real-time monitoring dashboards and adopted a blended delivery governance model to track and scale AI benefits across teams.
Technologies
- Achieved approximately 20% improvement in engineering productivity.
- Reduced error rates by around 30%.
- Secured over 80% adoption of AI tools across targeted engineering teams, delivering measurable quality and operational benefits.
Implementation partners1
Sources & evidence1
Groundedness: 4/5
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