Building an AI-first MSP
What the Neuralwerx model actually looks like inside a running business
When AI Runs Your MSP: Governing the Agents You Can’t Ignore
AI agents are already closing tickets and running triage inside forward-looking MSPs. The governance conversation is no longer theoretical, it’s operational.
One MSP Put AI Agents at the Center of His Delivery Model. Here’s What He Learned.
Most MSPs are still asking whether to adopt AI. Dan Reid already did and built Neuralwerx to find out what happens when agents handle the majority of your ticket resolution and operational triage. What he discovered is that the real challenge isn’t deployment. It’s trust, auditability, and blast radius: knowing what your agents are doing, why they made the decisions they made, and what happens when something goes wrong.
In this conversation, Dan and Alex Courson get into what it actually looks like to run an AI-first MSP, and why visibility into agent behavior isn’t a nice-to-have. It’s the thing that makes the whole model defensible. For MSPs already selling or evaluating Teramind, this episode is a live blueprint for how to position monitoring in an environment where humans are increasingly in a supervisory role.
Key Discussion Topics
Trust & auditability for agents
How to know what your agents did, and prove it when a client asks
Blast radius & containment
What happens when an agent makes the wrong call, and how to limit the damage
Humans in a supervisory role
Redefining your team’s job when agents handle execution
AI governance as the new IRM frontier
Why mixed human/AI workforces need a different monitoring model
The Canadian market lens
Regulatory context and how US-style compliance frameworks are landing north of the border
Our Speakers
Alex Courson
VP MSP and Channel, Teramind
Dan Reid
Founder, Framewerx & Neuralwerx Teramind MSP Advisory Council