Normalized claim
Productivity: 20% increase
Achieved approximately 20% improvement in engineering productivity.
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
Productivity: Approximately 20% higher
Productivity & throughput
Accuracy: Approximately 30% lower
Planned next steps
- The source says the organization aims to achieve Quality: More than 80%.
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Accuracy: 30% decrease
Reduced error rates by around 30%.
Normalized claim
Quantified impact: 80%
Secured over 80% adoption of AI tools across targeted engineering teams, delivering measurable quality and operational benefits.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Leading North American Airline
- Provider
- AWS
- Maturity
- Production
- Linked source
- Xebia Customer Stories
A leading North American airline addressed fragmented and inconsistent Software Development Lifecycle (SDLC) practices to improve delivery speed, quality, and operational excellence
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Software Development Lifecycle Automation
- 2Generative AI in SDLC
- 3Engineering Productivity
- 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%.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Sep 17, 2025Publisher: Xebia Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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