How to Build a Knowledge Foundation That Drives AI Resolution – Webinar

Date: 09 October 2026 | 10:00 PM — 10:45 PM BST

Location: Virtual

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A reliable AI agent starts with reliable knowledge, but getting there takes more than connecting your help center and hoping for the best.

When Arbiter Sports launched AI chat, the team went live in just one week and reached an 86% resolution rate within four weeks. Behind that result was the work to make sure their support knowledge was ready for AI.

Join KayLee Roemmich, Senior Director of Customer Experience at Arbiter Sports, alongside Brendan Larabee, Zendesk & AI Support Operations Specialist, and Sabino Garcia, Content Writer & Implementation Specialist, for a practical look at how Arbiter prepared its knowledge for AI — and what you can take from their approach to improve your own.

You’ll Learn How To:

• Audit and organize your support content to uncover outdated, missing, and conflicting information
• Decide what belongs in your knowledge base versus a workflow based on the question and desired customer outcome
• Test AI answers and use real conversations to identify and prioritize the gaps that matter most
• Establish ongoing ownership and maintenance without requiring a full-time AI administrator

Whether you’re evaluating an AI support agent or already have one in production, you’ll leave with a practical framework for prioritizing what to fix and improving AI performance over time.

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