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What’s really happening when AI takes on customer support?

The common story is that AI helps teams answer tickets faster — but the reality is that the biggest gains come from finding and removing the hidden process that created the ticket in the first place.

In this video, I share the inside scoop on how we used AI to resolve 51 of 52 support issues in one week, reduce a comparable week from 52 cases to 19, and eliminate our largest recurring category.

• Why grouping cases by root cause matters more than grouping by subject line
• How tickets can become scaffolds for cross-system research
• What should remain behind a human approval gate
• How to test an agent in draft mode before giving it more freedom
• Why the remaining cases get harder after the repetitive work disappears

For operators, builders, and customer-facing teams, the shift is from automating replies to rebuilding the workflow so fewer customers need to ask for help at all.

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