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CLIENT
INDUSTRY
Transportation and Logistics
FEATURING
GenAI
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.”
“The PwC team gave us a new way to modernize legacy applications, which is faster and more accurate than traditional planning approaches. Their smart methods utilized GenAI in a practical way and that experience will help us transform our business.”
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