What we cover
Inside the session.
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 it’s for
Built for real teams.
Support leaders worried about AI giving customers wrong answers
B2B SaaS companies scaling support across multiple product lines
Operations leaders looking to reduce response times without adding headcount
Anyone who's been burned by an AI vendor promising full automation on day one
CX leaders who want to improve CSAT without sacrificing quality
Your speakers
Who’s presenting.
Eugene leads Ability AI, the applied AI lab behind AI-native companies. Ability AI builds Trinity, the operating system they run on, and Cornelius, the cognitive architecture that makes the work compound: compounding intelligence your company owns. His focus: helping companies achieve measurable results with AI while keeping full ownership and control.
Alex manages delivery at Ability AI, ensuring AI automation projects are executed on time and exceed client expectations. He oversees end-to-end implementation across industries, turning complex requirements into working systems.
The case study behind this webinar
EV Energy: 1 business day → 7 minutes
Everything we cover in this session happened at EV Energy. Read how they went from one business day response times to seven minutes — with the phased, trust-first approach we'll walk through live.
Watch the replay
Catch it on demand.
The full recording is yours to watch anytime — no gate, no replay form.