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.