---
title: "2026 customer service planning series: Vol. 04"
description: "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."
---

# 2026 customer service planning series: Vol. 04

[Intercom](https://yomu.fyi/company/intercom) · Declan Ivory · Dec 9, 2025

**Type:** Explainer

## 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.

## Context

The operating model is intended to make progress integral to customer-support work, ensure every resolution improves the system, reduce repeated issues, compound quality, and scale support. The post identifies unclear ownership as a common reason AI performance plateaus.

## Approach / What changed

Assign a clear owner, often an AI ops lead in support operations or an existing role, with authority to improve the AI Agent. The model also uses guardrails, feedback loops, and lightweight governance. At Dotdigital, a dedicated support operations specialist was created to refine snippets, improve content, and enhance resolution capabilities.

## Takeaways

- A single owner with authority is responsible for improving AI Agent performance and preventing feedback, issues, and improvements from becoming stalled.
- Dotdigital created a dedicated support operations specialist role after the AI Agent resolved about 2,800 conversations per month for three consecutive months.
- Lightweight governance is intended to let teams continue iterating as AI handles more volume and complexity, without bureaucracy or endless approvals.

**Tags:** [AI Agents](https://yomu.fyi/topic/ai-agents), [Automation](https://yomu.fyi/topic/automation), [Customer Experience](https://yomu.fyi/topic/customer-experience)

- Source: [Intercom](https://www.intercom.com/blog/establish-systems-and-structure-that-sustain-ai-performance)
- Source URL: https://www.intercom.com/blog/establish-systems-and-structure-that-sustain-ai-performance
- Ingested by Yomu: 2026-09-09T08:21:00.542Z

[Read original post](https://www.intercom.com/blog/establish-systems-and-structure-that-sustain-ai-performance)