The Support Copilot That Earned Its Escalation Rights

This support team deployed a copilot that could draft responses, suggest knowledge-base articles, and auto-resolve tier-1 tickets. Accuracy was 92% from day one. Adoption was 12%. The problem wasn't the model — it was trust.

Agents had been burned by previous tools that made them look bad in front of customers. They needed to see the copilot earn its way up the escalation ladder: start with draft suggestions only, graduate to auto-send on low-risk categories after two weeks of 95%+ acceptance, and only then expand scope.

We also gave agents a 'veto' button that fed directly into model retraining. Every override was a training signal, not a failure metric. Within six weeks, adoption hit 78% and the copilot was handling 65% of tier-1 volume without a human edit.