Stop using AI as a search engine. In this video, you’ll learn how to build Zoom Workflows that complete tasks for you, from post-meeting follow-ups to daily status summaries. Most AI tools stop at answers. The real value comes from systems that do the work: updating your CRM, sending the follow-up, and notifying the right people. We break down how to design these workflows as graphs of nodes, mixing reliable deterministic steps like routing and field mapping with AI reasoning nodes for the parts that need judgment. *You’ll see how to:* - Choose triggers, such as a meeting ending or a scheduled time each day - Add human review before any sensitive change is written - Keep an audit trail so you know exactly what automation changed and when - Use Zoom’s templates, or describe a workflow in plain language and let AI build it - Share workflows with your team or specific departments If you’re ready to move beyond basic prompts, this walkthrough shows you how to make your technology do the work. *Chapters* 0:00 Why an answer isn’t an outcome 0:17 Action: turning retrieved content into finished work 0:28 Workflow design: deterministic steps vs. AI reasoning 1:00 Triggers: event-based and scheduled 1:14 Human review before sensitive writes 1:41 Permissions and audit trails 2:06 Connected tools and outputs 2:38 Workflows tab and Zoom templates 3:58 Building a workflow: describe it, import it, or start from a note 4:39 Choosing a meeting trigger 5:44 Adding actions: sending a Zoom chat message 6:27 Using AI reasoning nodes 7:02 Example: post-meeting summary sent by SMS 7:30 Example: daily summary of blocked items 8:05 Wrap-up

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