Zendesk has outlined an advanced training session for customer support teams ready to move their AI agents beyond basic FAQ responses. The webinar, titled "From Answers to Autonomous Resolution," targets admins and team leads who already have an active AI agent connected to a knowledge source and want to build true end-to-end resolution capabilities.
Teaching AI to follow business processes
The session focuses on two core capabilities: procedures and actions. Procedures allow teams to write natural-language instructions that teach an AI agent to follow specific business processes. Actions enable the agent to operate across connected systems - checking order statuses, issuing refunds, or verifying customer identities without human handoff. The goal is autonomous resolution, not just better answers.
Attendees will also learn to use the analytics dashboard and the Automation Potential report. These tools help measure current performance and identify which workflows to automate next. The session provides a practical framework for prioritizing automation opportunities rather than building blindly.
Who should attend and what's required
This is an advanced session. Zendesk recommends attendees first complete the "Getting Started Fast: Launching Your AI Agent in 3 Steps" webinar or have equivalent hands-on experience. An active AI agent with at least one connected knowledge source is a prerequisite for following along with the practical content.
Procedures and actions require the AI agents add-on or a Suite plan that supports agentic AI. Attendees can verify eligibility in Admin Center under AI → AI agents or by contacting their Zendesk account team. Teams without an active agent can still attend for conceptual understanding, but the material assumes workspace familiarity.
Why this matters for customer support teams
Most support teams stop at connecting a knowledge base and calling it done. The real operational shift happens when AI agents start resolving tickets - not just answering questions. This session gives team leads a structured way to identify which processes to automate first and how to build those automations using natural-language instructions rather than code. For teams already stretched thin, that means reducing ticket volume on repetitive tasks like order lookups and refunds, freeing agents for work that requires judgment.
Teams looking to build these skills further can explore the AI Learning Path for Call Center Supervisors or browse resources on AI for Customer Support.
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