Your AI Agent Can't Talk to Your Cameras. That's a Problem.

Rhombus + Claude Series

Enterprise teams are deploying AI to automate everything from IT support to facilities management. The pitch is compelling: an AI agent that can file tickets, answer questions, generate reports, and handle the routine work that used to fill half an analyst’s day.

But when that agent needs to answer a simple question about your physical security — “which cameras are offline right now?” — most camera systems hit a wall. There’s no way for software to ask. The only answer lives behind a login screen, a dashboard, and a human willing to click through it.

That’s the gap. Your AI stack can query Datadog, Salesforce, and ServiceNow. It can’t query your cameras. So every physical security question becomes a manual task assigned to a human, no matter how routine it is. The part of your enterprise that generates some of the richest operational data stays invisible to the tools trying to automate the rest.

Rhombus is built the other way. Every camera’s status, every sensor reading, every event is structured data that your AI stack can pull in real time.

For the developers:

With the Rhombus plugin for Claude Code, a fleet audit is one prompt:

“Which cameras have been offline for more than an hour? Group them by location.”

Claude runs the CLI under the hood, filters the results, and hands back a plain-English summary.

The payoff: The cameras you already have installed become just another system your AI agents can monitor, report on, and act against. The dashboard stops being a bottleneck. The question stops being a ticket. And your physical security becomes part of the same automated pipeline as everything else you run.