Treffer: Automating SLA Reporting for Support Teams Using Excel and VBA: A Practical Approach
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This paper presents a smart automation framework for intelligent ticket routing and SLA breach prediction in JIRA-based support environments. By integrating Python scripts with AI models, the system analyzes incoming service tickets, assigns priority levels, and forecasts SLA violations to improve operational efficiency. The research focuses on reducing resolution time, enhancing service reliability, and streamlining support workflows through data-driven insights. Key components include classification algorithms, breach prediction logic, and integration with JIRA’s automation API. This project is part of a larger initiative to build open-source tools for real-time IT support intelligence and aligns with current trends in AI-powered DevOps automation.