We're considering eesel AI to reduce ticket volume, but I'm curious about the actual setup time. Does it really pick up context from your existing docs and tickets that well, or does it need heavy training? Also wondering if there are gotchas when integrating with our existing tools. Would love to hear from anyone running it in production.
I haven't used eesel AI directly, but I'd suggest testing it with a subset of your actual docs and tickets first—most context-learning tools work better when you're selective about what you feed them rather than dumping everything at once. Since you're already in Jira, you might experiment with exporting a sample of your tickets to see how well eesel picks up your patterns before full integration. What's your typical ticket volume and complexity—are we talking straightforward support queries or highly technical issues that need domain knowledge?