With AI agents applied to the development cycle, DM saved 337 hours, boosted Product and Quality productivity by over 40% and standardized deliveries in just a few months.
DM aimed to reduce operational costs and increase the productivity of its Product and Quality teams. Much of the time of Product Owners and Quality Assurance was consumed by manual, repetitive activities — such as writing user stories, creating tests, functional validations and technical reviews. Although essential, these tasks limited the focus on strategic activities such as discovery, prioritization, failure prevention and continuous improvement, impacting productivity and operational costs.
MadeinWeb implemented Qa.Coders at DM, an intelligent automation platform powered by AI agents capable of accelerating and standardizing critical activities of the software development cycle. The solution included:
Assisted user story generation
Automated creation of test cases
Continuous support for functional validation
Standardization of documentation and processes
Automation was integrated into the teams' workflow, enhancing the work of POs and QAs without replacing the human factor.
The platform was built on AWS infrastructure, combining Amazon Bedrock for the agents' language models, AWS Lambda for serverless execution of automated flows, Amazon EKS to orchestrate containerized services and Amazon SQS to ensure asynchronous and resilient processing between agents.
Between September 2024 and January 2025, the adoption of intelligent automation with AI generated clear and measurable impacts on DM's operation:
The results reinforce that intelligent automation not only reduces costs but elevates operational efficiency and creates a solid foundation of continuous and sustainable ROI for DM. By combining AI agents with the knowledge of the Product and Quality teams, the operation gained scale, predictability and the capacity to focus on truly strategic initiatives.
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