Southwest Airlines: GenAI modernizes crew leave management system

Southwest Airlines (Southwest) collaborated with PwC to help modernize its crew attendance and leave management system so it could save time, reduce costs and lower risks. GenAI capabilities were used to pull unique insights and requirements directly from the source code, reducing project planning time by half. This led to faster creation of a detailed delivery plan for the updated system while introducing a new model for project delivery.

CLIENT

INDUSTRY

Transportation and Logistics

FEATURING

GenAI

Decorative image

50%

reduction of backlog creation time to 5 weeks from 10 weeks compared to traditional methods

90%

of AI-generated user stories accepted as high-quality requirements, totaling over 600 stories

50%

of time saved (200+ hours) across engineering, technology and business specialists during the planning and design project phases

Enhanced trust through detailed approach; Delivered precise requirements for high-confidence future development

Interview with

Marty Garza
Vice President, Air Operations Technology
Southwest Airlines

What was the challenge?

“Our crew application, which helps manage leave and attendance, was built on a legacy tech stack. It was slowing things down as it became increasingly difficult to maintain and enhance the system, especially due to a lack of accurate documentation and an overreliance on tacit knowledge. We saw an opportunity to improve and update the technology so Southwest could mitigate potential risks, align operations with future business demand and support our operational efficiency and reliability goals.”

Describe the solution delivered by the PwC team.

“PwC brought an innovative engineering approach along with GenAI to reverse-engineer the legacy system’s complex source code into holistic functional requirements. This approach extracted the key requirements and transformed them into a prioritized backlog, accelerating planning and design informed by Southwest knowledge specialists. Collaborative workshops with PwC to review content and continually enhance GenAI capabilities focused on the backlog provided clarity and efficiency. With PwC, we condensed what could have been a months-long effort into a five-week milestone.”

How does the solution blend the strengths of technology and people?

“While GenAI tools automated labor-intensive tasks like scalable code analysis and dependency mapping, PwC facilitated workshops and iterative reviews that helped align the outputs with our operational needs — blending leading-edge technology with strategic human insights. Rather than replacing employees, these advancements freed up valuable time, allowing our teams to think critically, solve complex problems and drive innovation. Working together in this way helped our teams make smart choices. In turn, this helped our teams get ready for the next steps in the project and kept us more aligned.”

Where or how did innovation and unexpected ways of thinking come into play?

“What really stood out was how PwC fused GenAI and advanced software engineering techniques to turn a legacy system into a forward-thinking modernization plan. By deconstructing and analyzing every line of code in the legacy application, the PwC team brought a whole new level of insight, which was key to creating a high-confidence delivery plan. PwC’s ability to think beyond standard practices and integrate both technical and industry perspectives made this project the go-to example for future initiatives.”

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Tim Mattix

Systems Modernization Capability Leader, PwC US

Raymond Hearrell

Principal, PwC US

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