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Event management platform Bizzabo is rolling out what it calls its Agentic Operating System for Events. The new functionality is framed around purpose-built AI agents that learn from an event's history and help streamline repetitive tasks by analyzing the data and then preparing improvements and changes — all of which must be approved by a human before they're implemented.
Five agents will be rolled out to start, which existing customers can begin using this fall.
What the AI agents can do
The following five agents are part of the Agentic Operating System for Events debut:
- Website Designer: Allows event organizers to chat with their event website and then see a preview of the changes in real time. The agent implements all edits in line with branding.
- Setup Reviewer: Runs a prelaunch health check that catches errors on the site before attendees ever see them.
- Content Manager: Creates and updates event schedules from a prompt, potentially saving hours vs. manual setup.
- Audience Manager: Identifies specific audience segments and attempts to reengage them, such as past attendees who haven't yet registered for the next event.
- Event Analyst: Compares registration pacing vs. the team's past events and proposes next steps, which simply need to be approved before being implemented automatically.
Why agentic AI vs. MCP connectors?
While numerous event-technology providers have either introduced or teased forthcoming MCPs — standardized connectors that allow their event tech to communicate directly with LLMs like Claude or ChatGPT — Bizzabo elected to go a different direction. Such MCPs can be a boon for event professionals who have come to rely on ChatGPT or Claude to streamline operations; in such cases, the AI platforms used by each already have learned a great deal about their business operations or event history. So connecting one's Claude account, for instance, with the data one is getting from their event-tech platforms makes perfect sense. Bizzabo execs acknowledge this but believe the general demand for MCPs still isn't high enough to move the needle across the breadth of their customer base.
"We have an MCP coming too," said Alon Alroy, Bizzabo cofounder, CMO and CCO. "We just didn't think that should be where you start."
Instead, they've built the time-saving functionality into the platform, catering to what they believe is the larger percentage of customers who haven't invested the time in general LLMs for advanced analysis, and serving a broader range of customers as a result.
"In around 25 discovery interviews I conducted with event leaders, not one of them brought up MCPs on their own," said Alroy. "But all of them brought up time pressures." And that's the pain point Bizzabo is looking to solve.
Tapping into the AI benefits
One overriding benefit to training AI on event data is the fact that the AI learns from past event data and remembers from one event to the next — and that's the case whether you're using agents like Bizzabo's or through the use of an LLM account. Hence the event playbooks are maintained even when someone leaves the team, Alroy points out.
The AI benefits are maximized and made effective based on human expertise, but the thinking is that such expertise doesn't need to disappear when the personnel changes.
Existing Bizzabo customers can get early access to the first agents beginning later this fall. The full Agentic Operating System for Events will be widely available in early 2027.