How AI Connects Zoom's Meetings, Communication, and Workflows

In the AI era, what users truly need is no longer more tools, but rather a less fragmented work experience. This session centers on real‑world design cases from Zoom Workplace, guiding participants through an in‑depth exploration of how to shift from "feature integration" to "workflow design" — leveraging AI to connect discrete products such as meetings, chat, calendar, and documents into a continuous, intelligent, and seamless collaboration experience. Each participant will have the opportunity to personally "design" an AI‑driven continuous collaboration workflow.

Main Content:

1. How to Shift from Feature Integration to Workflow Design
1.1 Limitations of traditional feature integration: tool stacking vs. task flow
1.2 Core principles of workflow design: centered on user tasks, not product modules
1.3 Zoom Workplace case study: the design logic of Team Chat as the collaboration hub
1.4 Implementation steps from integration to workflow: identify critical paths, eliminate friction points, embed intelligence

2. How to Reduce Context‑Switching Cost in Collaboration Through AI
2.1 Components of context‑switching cost: cognitive load, time loss, attention fragmentation
2.2 Three AI‑driven cost reduction strategies: intelligent summarization, proactive delivery, seamless cross‑module transitions
2.3 Case demonstrations: AI‑summarized unread messages, pre‑loaded meeting materials, one‑click navigation to related documents
2.4 Metrics for success: reduction in switching frequency, decreased task completion time, lower user cognitive load scores

3. How to Build Continuous Meeting Chat Around the "Pre‑Meeting – In‑Meeting – Post‑Meeting" Journey
3.1 Pre‑meeting: AI‑generated agendas, linking historical chats and relevant documents, reminding attendees to prepare
3.2 In‑meeting: real‑time speech transcription, intelligent identification of action items, sentiment and tone assistance
3.3 Post‑meeting: automatic distribution of meeting notes, pushing tasks to Team Chat or calendar, linking decisions back to the workflow
3.4 Case demonstration: how a single meeting chat record connects a complete collaboration loop

4. How to Drive Experience Implementation in Complex Organizations and Cross‑Product Team Collaboration
4.1 Common resistance in complex organizations: departmental silos, fragmented product lines, technical debt
4.2 Key strategies for driving implementation: identify high‑frequency pain point scenarios, create lighthouse cases, iterate in small steps
4.3 Cross‑product team collaboration mechanisms: unified design language, shared component library, joint review process
4.4 Zoom internal practice: the path from a single‑team pilot to company‑wide rollout

5. Future Trends and Opportunities in Collaborative Product Design in the AI Era
5.1 Trend 1: From "people finding information" to "information finding people" — intelligent push
5.2 Trend 2: Agent‑based collaboration — AI as a virtual team member participating in task assignment and follow‑up
5.3 Trend 3: Cross‑application workflow integration — breaking product boundaries to achieve a unified continuous experience
5.4 Opportunities: application of affective computing in collaboration, balancing privacy and personalization, emerging roles in human‑AI collaboration

This session is not merely a case review of Zoom product design, but also a deep reflection on future ways of working and AI‑driven collaboration experiences.

1、Icebreaking and pain point alignment
2、Paradigm shift explanation
3、AI‑driven context‑switching cost reduction — deep dive
4、Continuous Meeting Chat case study breakdown
5、Group hands‑on workshop (design exercise)
6、Outcome presentation and instructor feedback
7、Summary, review, and Q&A

1、Product managers, designers, and architects of collaborative office products
2、Enterprise digital transformation leaders and team managers seeking to reduce tool fragmentation and improve team efficiency
3、Practitioners interested in AI‑native experiences and agent‑based collaboration models

1、New design thinking for collaborative products in the AI era
2、Methodology for building AI‑native experiences
3、Cross‑country team collaboration experience on large‑scale platform products
4、Collaboration models for Chat + AI / Agent