Trust and governance: the backbone of AI success

Without trust, automation at scale erodes confidence rather than building it. In this recorded panel from Zendesk Relate 2026, experts explain why governed knowledge, transparency, and feedback loops are the prerequisites that make AI safe to scale. You'll complete a quick diagnostic to see where your organization stands—and identify what to prioritize before expanding further.

This mini-course is part of a five-part series recorded at Zendesk Relate 2026. Each one stands on its own—start wherever feels most relevant to you.

• Change management: why AI isn't business as usual
• Talent evolution: rethinking roles and upskilling
• Metrics: measuring what matters in AI
• Trust and governance: the backbone of AI success
• Parting advice: beyond the AI technology

Learning objectives

By the end of this course, you will be able to:

• Assess your organization's current trust posture across key foundations like governance, transparency, and feedback loops.
• Prioritize which trust gap to address before scaling automation further.

Audience

This course is intended for all audiences.

Prerequisites

None required.