Your meetings are costing you more than you think. Between time lost to bad notes, missed context between conversations, and documents that take days instead of minutes, the hidden tax of poor meeting intelligence adds up fast. Artem Koren, Co-Founder and Chief Product Officer at Sembly AI, is building the fix. His team started in 2019, well before AI was a buzzword, with one simple idea: if technology can understand what happens in a meeting, it can do a whole lot after one.
In this episode, Shari and Artem unpack what it really takes to implement AI listening tools responsibly:
How to vet AI vendors on security, and the questions that separate good tools from risky ones.
Why transparency, not restriction, is the right answer to employee trust concerns.
What a $100,000 investment in meeting AI actually returns, and why the number might surprise you.
Timestamps
00:16 Artem introduces himself and Sembly AI's origin story
00:38 What 'augmented work' really means for everyday teams
02:05 How Sembly AI carries meeting context well beyond the call
03:00 Product deep dive: artifacts, agentic research, and infinite memory
04:52 Why context continuity changes everything for collaboration
05:35 Addressing security and data privacy concerns head-on
08:42 Table-stakes questions every buyer should ask an AI vendor
10:21 Sovereign data storage explained in plain English
13:35 Transparency in action: how Sembly AI makes its presence known
16:03 The ROI case: $2.5M return on a $100K investment
Guest Bio
Artem Koren is the Co-Founder and Chief Product Officer of Sembly AI, a meeting intelligence platform that transforms conversations into actionable insights across Google Meet, Microsoft Teams, Zoom, and WebEx. Artem started Sembly in 2019 with a straightforward premise: technology that understands meetings can do far more useful work after them. Today, Sembly's agentic AI builds a living library of meeting content, generates documents from entire interview pipelines, and has been shown to deliver a 25x ROI for its customers. Artem is a vocal advocate for transparent, consent-driven AI, and brings a product builder's clarity to the complex questions organizations face when adopting AI in the workplace.
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Keywords: meeting intelligence, Sembly AI, AI collaboration, HR technology, data privacy, SOC2, sovereign data storage, agentic AI, meeting ROI, AI vendor vetting, augmented work, change management, psychological safety, employee trust
