<ul data-eligibleForWebStory="true"><li>An internal automation project implemented an AI-based solution in JIRA to intelligently route support tickets and predict SLA breaches without external tools.</li><li>The solution utilized JIRA's native automation, Python integration for AI model, and historical ticket data for efficient routing and resolution workflows.</li><li>Key outcomes included a 34% reduction in average triage time, 50% improvement in SLA compliance, and ticket escalation routing in less than 1 second.</li><li>The project involved automatic ticket tagging, a Python model for urgency scoring, smart routing in JIRA, and SLA breach likelihood calculation for enhanced support efficiency.</li></ul>

AI-Powered Ticket Routing & SLA Breach Prediction in JIRA- My Real-World Automation Journey

Discover more