How to implement AI support without risking customer trust
About this webinar
Every support leader wants faster response times. But the real question isn't speed — it's trust. What happens when AI gives your customer the wrong answer? We'll walk through the exact phased methodology we used to take a SaaS company from one business day response times to seven minutes — without a single "sorry, our AI got that wrong" moment. No switch-flipping. No blind automation. Just a controlled, human-in-the-loop approach that earned team buy-in and customer praise.
What you'll learn
- Why most AI support rollouts fail (and how to avoid it)
- The phased approach: helper notes → direct responses → full expansion
- How to handle 26 product lines without 26 specialists
- Building trust with your team: from resistance to enthusiasm
- Real results: 1 business day → 7 min, CSAT 50% → 70%, FCR 35% → 55%
Who will get the most value
- 1Support leaders worried about AI giving customers wrong answers
- 2B2B SaaS companies scaling support across multiple product lines
- 3Operations leaders looking to reduce response times without adding headcount
- 4Anyone who's been burned by an AI vendor promising full automation on day one
- 5CX leaders who want to improve CSAT without sacrificing quality
Your host
Eugene Vyborov
Founder & CEO at Ability.ai
Eugene leads Ability.ai, a solution provider that delivers defined business outcomes through custom AI automation. The company uses whatever technology best solves each problem - including Trinity, their open-source orchestration platform. His focus: helping companies achieve measurable results with AI while maintaining full ownership and control.
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How to implement AI support without risking customer trust
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