Stop spending more time managing tickets than solving problems. AI-powered classification, automated routing, and SLA design that actually works.
Your team is spending more time managing Jira than doing actual work. Tickets pile up in the wrong queues. Priority levels are meaningless because everything is marked "High." Half your custom fields are never filled in, and the other half are filled in wrong.
SLAs exist on paper but nobody tracks them. When a ticket does get misrouted, it bounces between teams for days before someone notices. Your weekly status meetings are spent arguing about what is actually in progress rather than making progress.
The worst part: you know Jira can do better, but every attempt to "fix it" adds more complexity. More custom fields, more workflow states, more automation rules that fire at the wrong time. The tool that was supposed to organize your work is now generating work.
Deep analysis of your current Jira setup: workflows, issue types, custom fields, permissions, automations, and actual usage patterns. We find what is working, what is dead weight, and what is actively causing harm.
Automatic classification of incoming tickets by issue type, priority, and assignee. The AI learns from your historical data and gets smarter over time. 92-97% accuracy out of the gate, with continuous improvement.
Design SLA schemes that match your actual service commitments. Response times, resolution targets, escalation paths -- all automated with real-time tracking and alerts before breaches happen.
Tickets land in the right queue from day one. Workload-balanced assignment ensures no one person is overwhelmed. Weekly reports generated automatically with SLA compliance, throughput, and bottleneck analysis.
Fixed pricing. No hourly rates. No surprises.
1-2 weeks
4-6 weeks
Our AI ticket classification achieves 92-97% accuracy after training on your historical data. The system classifies issue type, priority, and assignee automatically. It learns from corrections, so accuracy improves over time. For the remaining edge cases, tickets are flagged for human review rather than misrouted.
Yes, we support both Jira Cloud and Jira Data Center. The implementation approach differs slightly -- Cloud uses Forge apps and REST APIs, while Data Center uses ScriptRunner or custom plugins -- but the end result is the same: automated classification, routing, and reporting.
A Jira audit takes 1-2 weeks. We analyze your current workflows, issue types, custom fields, automations, permissions, and SLA compliance. The deliverable is a detailed report with specific recommendations, quick wins you can implement immediately, and a roadmap for larger changes.
Custom workflows are the norm, not the exception. We audit what you have, identify bottlenecks and redundancies, and optimize from there. We never throw away working processes -- we streamline them. If a workflow exists for a good reason, we keep it and make it faster.
A growing company was manually triaging hundreds of tickets per week. Misrouted tickets, missed SLAs, and frustrated teams were the daily norm.
AI-powered ticket classification with automated routing by type, workload-balanced assignment, SLA tracking, and automated escalation before breaches.