AI feels like a competitive advantage
There is a growing belief that adopting AI will create differentiation.
Many MSPs are rushing to:
• Deploy AI tools
• Integrate new features
• Experiment with automation
On the surface, this makes sense.
The illusion of progress
The problem is that many AI initiatives create the appearance of progress.
But not the reality.
Adding AI without changing workflows often results in:
• More tools
• More complexity
• More noise
Instead of better outcomes.
Why this happens
MSPs are treating AI as a layer to add.
Rather than a way to rethink how work is done.
So instead of removing friction, they introduce more of it.
Where the real value is
The value of AI is not in what it can do.
It is in what it can remove.
Time spent:
• Searching for information
• Documenting work
• Diagnosing repeat issues
When those are reduced, everything else improves.
The right way to approach AI
Start with operations, not tools.
Ask:
Where are we losing time?
Where are we repeating work?
Where are we inefficient?
Then apply AI to those specific areas.
The difference between adoption and impact
Adopting AI is easy.
Creating impact requires discipline.
The MSPs that understand this will benefit.
The ones that chase features will not.
