When Meetings Become Agentic Systems — Sam Liang & Blake Williams

Meetings produce the intelligence GTM relies on but under AI-paced cycles, that intelligence must be structured, retrievable, and actionable. Sam Liang shows how turning conversations into machine-readable context enables agents to execute across teams, connect insights, and accelerate decisions. He’ll reveal why siloed meeting data creates GTM bottlenecks—and how in-meeting AI becomes infrastructure for alignment and autonomous execution.

Speakers:
Blake Williams – AI & PE Operating Partner
Sam Liang – CEO, Founder,Otter.ai

Timestamps

00:00:00 Session opening & context
00:04:05 Defining the core problem
00:09:30 Where legacy GTM models break
00:15:10 Agentic coordination in practice
00:21:40 Risks, failure modes, and tradeoffs
00:27:20 Key takeaways for GTM leaders

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