Arvind Jain, CEO of Glean, describes how enterprise requirements for AI agents have evolved beyond basic retrieval-augmented generation.
Assertion Not checkable as stated
Arvind Jain: Enterprise customers rarely run AI agents fully unsupervised
“We barely see any application where customers are running agents in a fully unattended unsupervised, you know, setting.”
Prediction Not checkable as stated
Arvind Jain: Large enterprises will deploy thousands of vertical AI agents
“Now on top of that, you will have agents which will proliferate and they're going to be they're going to be like thousands of these agents inside, inside a large enterprise and they are all functional and they are, you know, vertical in nature.”
Insight
Arvind Jain: Enterprise software cannot build eBay-style network effects
“In enterprises, you know, it's sort of hard to explore. It's hard to actually you know, have, like, Network effects like, you know, the kind that you have with eBay. Like, you know, enterprise software doesn't work that way.”
Assertion Supported
Arvind Jain: Most enterprise AI use cases rely on closed models
“Today, the, for most customer use cases the companies are using the closed, closed models at the moment”
Disclosure
Arvind Jain: Glean evaluates new AI models within 30 minutes
“We need to have a way within, like, you know, 30 minutes to know how well it's going to do on our product, right? I mean, and you can do those things. You can actually build the right, you know, evaluation frameworks, things like that.”
Prediction Not checkable as stated
Arvind Jain: Every worker will have a team of AI assistants
“And the future that I see with AI is that every person who works is going to have this amazing team of assistants, coworkers, and coaches around them that is going to actually make them a lot more effective.”