2026 customer service planning series: Vol. 04

Summary

After defining team roles, an operating model is needed to make progress part of customer-support work and keep an AI Agent improving over time. The stated goal is that “the first time you answer a question should be the last,” with each resolution improving the system so fewer issues repeat, quality compounds, and support scales. The post emphasizes clear ownership, risk-aware guardrails, feedback loops, and a culture that values improvement work; it identifies ambiguity as a common cause of performance plateaus. An AI ops lead, often located in support operations or developed from an existing role, owns performance and drives change, illustrated by Dotdigital’s dedicated specialist after resolution volume held at about 2,800 conversations per month for three months; lightweight governance is presented as a way to keep iterating without excessive bureaucracy.

Takeaways

1. 1

   A single owner with authority is responsible for improving AI Agent performance and preventing feedback, issues, and improvements from becoming stalled.

2. 2

   Dotdigital created a dedicated support operations specialist role after the AI Agent resolved about 2,800 conversations per month for three consecutive months.

3. 3

   Lightweight governance is intended to let teams continue iterating as AI handles more volume and complexity, without bureaucracy or endless approvals.