2025 Integrated Annual Report

Accelerating custom software engineering with AI

Client testimonial

Accelerating custom software engineering with AI

Logo: Penske

Rohit Talwar, SVP of Software Engineering at Penske Transportation Solutions, tells us how Capgemini supported its adoption of GitHub Copilot, enhancing innovation and developer value.

How is AI leveraged to advance Penske’s digital priorities, particularly in custom software engineering?

Rohit Talwar - Our industry is niche, meaning software products that help lease or rent trucks don’t exist, so 80% of the software we use is built by us. As technology surges, our business processes must evolve. We approach Gen AI pragmatically, starting with a focus on measurable business value across productivity, customer experience, and operational excellence. It’s not about building code but delivering value to our business and customers faster.

Why was Capgemini chosen for this pilot, and what capabilities did you look for in a consulting partner?

R. T. - As we’ve worked together for over 25 years, Capgemini is well-versed in our software engineering practices and business strategy. For this AI project, we needed a partner that understood our technology, processes, and strategy. Capgemini found ways to boost the productivity of our engineers, acting as an extension of our team to support our technology and business goals.

Your pilot showed a 10-12% improvement in developer productivity, what practices or behaviors contributed most to this gain?

R. T. - Capgemini was integral in building the pilot roadmap, defining measurable metrics, and helping train engineers on-site and offshore. The goal was to reduce time spent on repetitive tasks like writing boilerplate code, allowing developers to focus on high-value design and architecture. Once developers saw how the tool helped them learn new skills and avoid jumping between tools for answers, they embraced it.

Real business value

A 10-12% improvement in developer productivity.