How Eva the Virtual Agent Scales Support in 12 Days (Full Transcript)
[00:00:00] Speaker 1: AI can be scary, I think, for a lot of people, for a lot of businesses. And the team just got behind it, and we said, hey, we're gonna do this. And so in 12 days, we launched our first tool. It's called Eva, Engine Virtual Agent. And Eva now handles over 30% of all of our cases, and we'll do about 800,000 cases this year, and without any sort of human assistance. Yeah, so that's real productivity. We're trying to onboard that many people in this remote first, right? So obviously there's onboarding there, but when you have that agent inside of Slack, people can just ask questions. We think about as context is where the 100 IQ points, we see a lot. And so when someone can just ask the question and get it right there, they don't need to wait on the manager. And maybe the manager is 30, 60, 90 days old too. So it really brings all that context forward and answers questions.
- Moving quickly can turn AI uncertainty into a competitive advantage (tool launched in 12 days).
- Autonomous AI agents can meaningfully reduce workload (30%+ of cases handled without humans).
- Embedding AI in existing workflows (Slack) increases accessibility and adoption.
- Contextual, on-demand answers speed onboarding and reduce dependency on managers.
- AI self-service support can scale operations without proportional headcount growth.