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.
Helped Livelo identify, test, and scale Amazon Q Developer and Kiro for engineering productivity.
Cloud computing platform and on-demand infrastructure services.
Livelo's Software development is part of this use case:
Related implementations across industries and use cases
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
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 coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Helped Livelo identify, test, and scale Amazon Q Developer and Kiro for engineering productivity.
Cloud computing platform and on-demand infrastructure services.
Livelo's Software development is part of this use case:
Related implementations across industries and use cases
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
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 coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Strict regulations slowed development. Engineers using AI cut task times from 10 hours to 6 and reduced defects by 30%.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.