Stop Mixing Up AI and Automation — Your MSP Is Probably Doing It Wrong

Okay, Let's Clear Something Up

I watched an interview recently that hit me right between the eyes. Net Friends CEO John Snyder was chatting at Flow 2026, and he said something that made me stop scrolling and actually pay attention.

He said most MSPs are mixing up AI and automation — and it's quietly sabotaging their businesses.

Not because they're bad at technology. But because they've never been told the difference clearly.

So let me be the one to tell you.

AI Is a Thinking Tool. Automation Is a Doing Tool.

Here's the deal. AI is brilliant at spotting patterns, generating ideas, and helping your team design a better way to do something. It's like having a very eager intern who read every ticket you've ever closed and can tell you what patterns emerge at 2 AM on Tuesdays.

Automation? Automation is the person who actually does the thing the same way, every single time, without needing a coffee break or getting bored.

The mistake most people make is asking AI to do automation's job. They want AI to handle their repetitive tasks. But AI doesn't do repetitive well — it does repetitive boring. It starts to drift. It adds weird flourishes. It gets creative when you just need it to follow the script.

Meanwhile, they're asking automation to make judgment calls. "Should this ticket be escalated?" That's not automation's job. Automation follows rules. It doesn't know when something feels off.

What Net Friends Built (And Why It Matters)

John mentioned they built their own AI tool called Sage in-house. And before you dismiss this as something only big companies can do, hear me out.

Sage pulls from their own ticket history, their knowledge base, their chat logs. It's not a generic AI chatbot. It's trained on their business. Their quirks. Their customer relationships.

That's the real opportunity here. Your AI shouldn't be a stranger to your business. It should know your clients, your common issues, your team's communication style.

Is building something in-house right for everyone? Probably not. But understanding that generic AI tools have limits? That's important for everyone.

The Shadow AI Problem (Yes, It's a Thing)

Here's something nobody talks about enough. Your team is probably already using AI tools without telling you. Maybe they started using ChatGPT to draft ticket responses. Maybe someone's using an AI writing tool for client emails.

That's shadow AI. And it's not all bad — but it's not all good either.

You need a strategy for this. Not a paranoid "no AI allowed" policy that makes your team hide it from you. An actual strategy. What tools are okay? What data can they use? What needs to stay human?

John talked about having a shadow AI strategy, and honestly? That's the smartest thing I've heard all month.

What Do You Do With All That Free Time?

Okay, so maybe you've actually implemented some automation. Tasks that used to take hours now happen automatically. Your team has time they didn't have before.

Now what?

This is where most MSPs freeze up. They automate everything they can think of, then wonder why productivity hasn't magically improved. Here's the thing — automation creates capacity, not results. What you do with that capacity matters more than the automation itself.

John's take? Use that time to think. Design better processes. Actually talk to your clients about what they need. The automation handles the machine work. Your humans handle the meaningful work.

AI Is Creating Jobs (Yes, Really)

I know, I know. Everyone's worried about AI replacing jobs. But here's what I'm actually seeing: AI is creating jobs that didn't exist before.

Not just prompt engineers and AI trainers. I'm talking about roles that require imagination. Roles that need someone who can look at what AI could do and dream up what it should do.

Your best hire right now isn't someone who knows how to use AI. It's someone who has the imagination to know what AI should be used for.

The Human Touch Still Matters (A Lot)

Despite everything I've said about AI and automation making things better, here's my reminder for the day: your clients don't want to feel like they're dealing with a robot.

They want efficiency. But they also want to feel heard. Understood. Like there's a real human on the other end who cares about their business.

That's your differentiator. Not just solving the problem — solving it in a way that makes them feel like they chose the right MSP.

Wrapping This Up

The interview from Flow 2026 isn't just for tech nerds. It's for anyone running an MSP who's feeling a little overwhelmed by the AI hype.

Here's your takeaway: AI thinks. Automation does. Use them for what they're good at.

Stop expecting AI to handle repetitive grunt work. Stop expecting automation to make judgment calls.

Know the difference. Build a strategy. And remember that your humans are still the most valuable part of your operation.

Now go watch the full interview. Trust me — it's worth your time.

Connect with Luis Giraldo — he's the host of MSP Confidential and worth following if you're in the MSP space.

What's your experience with AI vs. automation in your MSP? Drop a comment — I'd love to hear what's working for you.

Tags: ['ai for msps', 'msp automation', 'managed service provider', 'ai tools', 'technology strategy', 'business efficiency', 'it business']