Manual coding and testing delayed reward campaigns. Now, AI automates repetitive tasks so 240 engineers focus on core architecture.
One of the largest engagement ecosystems in Brazil connects more than 58 million members to partners, retailers, airlines, and financial institutions through a digital platform maintained by a 240-person engineering team.
Manual effort and productivity variability during the software development and testing phases created severe bottlenecks. These delays slowed down...
“Our approach with Livelo was not about introducing a tool, but about driving measurable business value. The result was not only productivity gains but also a scalable AI adoption framework embedded into Livelo’s engineering culture.”
Rewards and loyalty platform for points accumulation and redemption.
Cloud computing platform and on-demand infrastructure services.
Helped Livelo identify, test, and scale Amazon Q Developer and Kiro for engineering productivity.
Related implementations across industries and use cases
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Manual coding and testing delayed reward campaigns. Now, AI automates repetitive tasks so 240 engineers focus on core architecture.
One of the largest engagement ecosystems in Brazil connects more than 58 million members to partners, retailers, airlines, and financial institutions through a digital platform maintained by a 240-person engineering team.
Manual effort and productivity variability during the software development and testing phases created severe bottlenecks. These delays slowed down...
“Our approach with Livelo was not about introducing a tool, but about driving measurable business value. The result was not only productivity gains but also a scalable AI adoption framework embedded into Livelo’s engineering culture.”
Rewards and loyalty platform for points accumulation and redemption.
Cloud computing platform and on-demand infrastructure services.
Helped Livelo identify, test, and scale Amazon Q Developer and Kiro for engineering productivity.
Related implementations across industries and use cases
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Strict quality standards slowed cycles. Claude now executes the build-test-fix loop, doubling execution speed.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.