How Eva the Virtual Agent Scales Support in 12 Days (Full Transcript)

A team launched Eva in 12 days; it now handles 30%+ of cases and accelerates remote onboarding via Slack with instant, contextual answers.
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[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.

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Arow Summary
A speaker describes embracing AI to improve productivity and onboarding. Their team rapidly launched an AI tool, Eva (Engine Virtual Agent), in 12 days. Eva now resolves over 30% of customer/support cases autonomously, contributing to an expected 800,000 cases handled this year without human assistance. The agent is embedded in Slack to help remote-first employees get immediate answers, reducing reliance on managers—especially important when both new hires and managers are still ramping up. The speaker emphasizes that delivering the right context at the moment of need effectively adds “100 IQ points.”
Arow Title
Rapid AI Adoption: Eva Virtual Agent Boosts Case Resolution and Onboarding
Arow Keywords
AI adoption Remove
virtual agent Remove
Eva Remove
automation Remove
customer support Remove
case resolution Remove
productivity Remove
remote-first Remove
onboarding Remove
Slack integration Remove
contextual knowledge Remove
self-service Remove
Arow Key Takeaways
  • 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.
Arow Sentiments
Positive: The tone is optimistic and confident, highlighting rapid execution, measurable productivity gains, and improved employee enablement through immediate access to contextual answers.
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