Sprint Intelligence: Leveraging Generative AI to Automate Agile Reporting and Engineering Insights in Regulated Mobile Software Development

Engineering teams often struggle with producing meaningful sprint reports that are both stakeholder-ready and reflective of technical progress. In this study, we present a GenAI-driven sprint assistant integrated into a mobile clinical trial engineering workflow. The assistant uses AWS Bedrock, Jira, GitHub, and Slack to generate structured, insightful, and automated sprint reports. These reports include delivery velocity, quality metrics, team health, and risk detection. The system enables Engineering Managers to shift from reactive to proactive sprint leadership, improving cross-functional visibility and decision-making. This paper details the architecture, implementation strategy, challenges faced, and outcomes measured over multiple release cycles.