The future of AI is not just agentic; This is deep personalization.
Instead of simple recommendation systems that correlate user behavior to identify patterns and apply them to personalized workflows, large language models (LLMs) and AI agents can analyze users directly to create deeply personalized experiences.
This kind of aggressive customization is increasingly being demanded by users – and the savvy enterprises that can (and will soon) provide it will win.
The goal is this: “Don’t try to randomize, or guess who I am. I tell you, that’s what I care about,” Lijuan Qin, product lead at Zoom AI, told Polygon in a new Beyond the Pilot Podcast.
How Zoom is incorporating personalization
Zoom is one company that has embraced this trend: Its generative assistant, AI Companion, goes beyond basic summaries, smart recording, and post-meeting action items to opinion divergence and user alignment tracking.
Users can customize meeting summaries based on their specific interests, and create targeted templates for follow-up emails to different personas (be it a salesperson or an account executive). The AI assistant can automatically fill out these documents after the call. Meanwhile, a custom dictionary in Zoom AI Studio can process unique enterprise terminology and terminology for more relevant AI output, and a deep research mode can provide comprehensive analysis based on “internal expertise and external insights.”
Control is important here; Humans can be “too specialized” [and] “Stop granting permissions to the agent,” Kin explained. They have “very clear controls” on follow-up actions, such as: Can the agent automatically send emails to specific recipients? Or will it trigger a verification step when it identifies that the transcript contains sensitive information (as directed by the user)?
Human users can track agent behavior in Zoom, enable and disable features, and control data access, knowing that AI can sometimes go off track. This can help prevent outputs that are incorrect or off target.
“The most important thing is that we don’t assume that AI is smart enough to fix everything,” Qin stressed.
getting the context right
In this new agentic AI era, there’s essentially a “land grab for context,” Sam Witteveen, co-founder of Red Dragon AI and Beyond the Pilot host, explains in the podcast.
“Surely knowing your users is a big thing, right? Knowing where in the app they are staying, what daily tasks they are constantly performing?” He said. “Companies realize that the more they have about you, the better [AI] The better the memory, the better they can adapt.
Witteveen says Claude Cowork is one app that “really shines” in this regard; OpenCL is another. The models are so good that they can start making decisions for users and responding to instructions like: "You know many things about me. You’ve got all this context. Go and develop skills that will help me do a better job."
“With something like OpenClaw, you can customize it any way you want, right? You can chat with it, you can tell it, ‘Hey, at 4 o’clock I want you to do this,'” Witwein said.
However, the usage and security of the token should always be kept in mind, he advised. OpenClaw has been plagued with security issues since its launch. This has led many enterprises to uninstall the autonomous agent or ban its use altogether; However, these uninstalls must be done correctly so that IT leaders do not inadvertently delete their entire enterprise stack.
Meanwhile, in nominal budget terms, personalization may increase costs. “You need to think about the metrics you’re tracking,” Witteveen said. “It varies greatly by product, but metrics around these things will be important."
Check out the podcast to learn more about it:
- Why don’t companies experiment with AI skills right now? "may be toast"
-
How Zoom created an AI companion that tracks not only action items in your meetings — but also opinion deviations
-
Why the question of build vs. buy has become more important for enterprise software
-
Why "Skill" MCP may matter more to the future of enterprise AI
You can also listen and subscribe beyond the pilot But spotify, Apple Or wherever you get your podcasts.
<a href