

The Collaboration Model for AI-Native Product Teams
AI made individuals faster, but teams keep losing momentum every time they need to rebuild context across people, agents, and tools. So how do product teams ship at AI speed without creating new bottlenecks?
In this session, product leaders from Superhuman and Zapier will break down the collaboration model behind high-velocity product teams. They'll share market research on where fast-moving teams stall, map what to automate versus what to keep human, and show how to hand off work without losing the context that keeps momentum.
You'll learn how to:
Ship the right product, faster: turn scattered research and agent output into a clear POV
Align engineering, product, and design: give the whole team one shared surface so context moves with the work
Prioritize ruthlessly: bring performance, goals, and priorities together so decisions are based on facts
Plus, you'll get a look at how Superhuman Docs gives teams one connected source of truth, so context moves with the work instead of getting rebuilt at every handoff.