Faster Feature Delivery
Reduction in Manual Work
Fewer Production Bugs
Engineering Efficiency Increase
A technology company operated multiple complex enterprise platforms with distributed engineering teams. They struggled with slow requirements gathering, inconsistent user stories, heavy manual coding for repetitive tasks, delayed QA cycles, and frequent misalignment between business, product, and engineering. These bottlenecks increased delivery times and introduced unnecessary defects.
Artelligence implemented the AI Software Engineering Agent, automating the SDLC end-to-end. Capabilities included: automated business case creation and requirements modeling, instant generation of acceptance criteria, JIRA user story generation with definitions of done, real-time backlog prioritization, AI-assisted coding aligned with company patterns, security checks and compliance validation, and automated unit, functional, integration, and regression tests. The engineering team could build faster, more consistently, and with higher quality.
The transformation delivered 4× faster delivery of features, 65% reduction in manual engineering workload, 38% fewer defects in production, 72% increase in engineering efficiency, complete alignment across business, product, and engineering, and developers freed from repetitive tasks.
