If you've spent any time reading about how AI fits into an IT shop, you've probably run into the term "AI control plane." Like a lot of AI terminology, it sounds more complicated than it is. Here's the short version:

An AI control plane is the layer that sits between your AI assistants and the tools your business already uses. It handles the connection, the permissions, the credentials, and the audit trail. Instead of every AI tool talking directly to every business system (which gets messy fast), the control plane manages all of it in one place.

For an MSP specifically, this matters. You're running more tools across more environments than almost anyone your size: PSA, RMM, documentation, security stack, M365, plus every one of those multiplied by every client you manage. Wiring AI into that landscape without a control plane means scattered credentials, patchwork access, and no meaningful audit trail.

In this video, Aaron from WYRE AI walks through the concept end to end. He covers what an AI control plane actually is, why the shape of an MSP's stack makes one especially useful, and how Conduit uses this model to connect AI assistants (Claude, Copilot, ChatGPT, whichever your team prefers) to the tools you already run: IT Glue, Datto RMM, Autotask, and the rest.

Control planes are how the more mature AI-in-business conversations are getting framed in 2026. If you've been feeling like AI is either "cool but not ready" or "everywhere but nowhere useful," this is the missing piece that makes the difference.

Take a look, and if you'd like to talk through what a control plane could look like for your shop, we're here.