22 September 2026 12:15 - 13:00
Interactive roundtable discussions
Join our dynamic networking roundtable session where you'll engage in a series of brief, structured interactions with fellow customer support leaders and industry experts.
Each interaction is a unique opportunity to share insights, exchange contact information, and discuss potential collaborations. This session aims to maximize your networking potential, ensuring you leave with actionable ideas to enhance your customer success strategies.
Topics:
- Building trust in AI: What it takes for agents and internal stakeholders to fully commit to AI adoption
- AI in the everyday: straightforward use cases to implement tomorrow
- A new kind of scorecard: Reviewing agent performance with an AI rubric for success
- Keeping your team on top: How to implement a team-wide AI training strategy
22 September 2026 09:45 - 10:15
How agentic AI turns support into a revenue engine
Most companies use AI to deflect tickets and call it a day. That leaves the most valuable work untouched.
Support conversations contain signals that rarely make it beyond the queue. Things like churn risk, expansion intent, product weaknesses, knowledge gaps, and competitive threats. They often surface days or weeks before the account team sees them. Then they die in a closed ticket.
In this session, Tom Morkes shows how a team of AI agents can investigate those signals, take action, and turn support into compounding growth.
What you will learn:
- The 3-step system for converting customer signals into revenue.
- How to catch churn risk, competitive threats, and product gaps before they lead to lost customers, missed revenue, and bad product decisions.
- What we discovered from 5.2 million support conversations, plus the 60-second math showing how much revenue is sitting in your queue.
- How to reclaim up to 50 hours per agent each month and reinvest that time for greater impact.
Key takeaway:
Support is not a cost center. It’s a revenue engine. You’ll leave with a playbook you can start using Monday.