Livelo boosts productivity 30%–50% using Amazon Q Developer and Kiro

Livelo offers its more than 58 million members the ability to accumulate and redeem points when they make purchases or use services across a wide network of businesses. With approximately 240 engineers working across multiple squads, Livelo’s technology team continuously evolves products, launches new business initiatives, and maintains the stability of the digital experiences that members rely on every day. Point accumulation, redemption journeys, campaigns, and personalized offers are all shaped by the speed and quality of software delivery. For members, faster delivery means shorter paths between earning points and achieving a trip or purchase that they have been working toward.

As part of a strategic objective to accelerate its digital products, Livelo analyzed its software development lifecycle and identified the development and testing phases as the areas of greatest opportunity. Manual effort and productivity variability were most pronounced at these stages, creating bottlenecks that slowed campaign launches, partnership integrations, and experience improvements. Every delay at these stages had a direct impact on how quickly members could accumulate points, access rewards, and complete their redemption journeys. The team recognized that unlocking productivity at the earliest stages of development would compound across every member touchpoint—accelerating not just software delivery, but the realization of member goals.

To address these challenges, Livelo worked with Compass UOL through the AWS Business Value Realization Initiative, a structured 3-month engagement focused on measurable business impact. Rather than a broad adoption approach, the pilot strategically identified areas with the fastest time to value and maximum benefit to Livelo. Compass UOL conducted targeted workshops, continuous hands-on implementation sessions, and structured engagement campaigns. These were designed to identify where Amazon Q Developer, which has agentic capabilities and can autonomously perform a range of tasks, and Kiro—an agentic coding service—could generate the greatest impact for Livelo’s specific programming languages and frameworks.

The key differentiator in the adoption strategy was a learning-by-shadowing methodology. Specialists from Compass UOL worked directly alongside Livelo’s squads in their day-to-day development environment to test, validate, and refine how Amazon Q Developer could be applied most effectively. After the highest-impact patterns were validated, they were scaled across the entire engineering organization. All 240 engineers benefited from proven practices fully aligned with Livelo’s internal standards. “Our approach with Livelo was not about introducing a tool, but about driving measurable business value,” says Alexis Rockenbach, global CEO at Compass UOL. “The result was not only productivity gains but also a scalable AI adoption framework embedded into Livelo’s engineering culture.”

In the final phase of the program, Livelo introduced Kiro to its engineering teams. Using knowledge gathered during earlier phases, Livelo’s engineers could quickly incorporate Kiro’s spec-driven mode, expanding the AI capabilities available to each squad. Developers shifted their focus to architecture and problem-solving, while AI took on repetitive tasks and maintained code standards from the start of each project. “The Kiro implementation was a turning point because it democratized technical excellence,” says Ricardo Bemfica, head of technology at Livelo.

After adopting Amazon Q Developer and Kiro, 77 percent of surveyed Livelo engineers reported an average 30 percent reduction in delivery time. This made it possible for teams to deliver more initiatives within the same planning cycle without increasing headcount. In some squads, productivity gains of up to 50 percent were observed in specific activities, depending on task complexity. Over 90 percent of Livelo engineers actively use Amazon Q Developer and Kiro, indicating strong adoption across the engineering organization. Based on the cost-benefit analysis, Livelo identified a potential financial impact equivalent to approximately $700,000 (about 3.8 million reals) in estimated net savings in the first year.

During the same period, Livelo also observed a reduction of more than 55 percent in the defects-per-feature ratio on a monthly basis. This was the result of the combined impact of the program and other ongoing engineering improvements. Automated documentation, testing, and code review workflows supported by the tools contributed to more consistent development practices. Over time, Livelo expects these improvements to continue supporting more reliable software delivery while maintaining engineering efficiency as the platform evolves. “More than just accelerating new products, by working alongside Compass UOL we eliminated the gap between customer needs and our delivery capacity,” says Maicon Guerra, superintendent of technology at Livelo. “For our members, the result is a seamless experience and the certainty that their loyalty achievements will be delivered more quickly, supported by a stable, fast, and innovative product.”