Confident your PSA data is solid? That might be exactly the problem. Larry Cobrin breaks down the poker-player pattern he sees on every discovery call — and why the MSPs most sure their data is clean are often the ones with the biggest blind spots before handing anything to AI.
If you’d like, I can also draft a couple of alternate versions (shorter/punchier vs. more SEO-keyword-forward with “MSP data” and “AI readiness”) — just say the word.

We took a deep-dive into churn data across hundreds of MSPs — and what we found challenges some common assumptions about which clients are at risk. High-efficiency clients, clients without active project work, and low-revenue accounts all showed elevated churn rates in the aggregate data. Here’s what the patterns reveal, and why it matters for any MSP focused on EBITDA growth.

AI isn’t the advantage anymore. Everyone has it. What separates firms now is how well they execute, operationalize, and manage the growing complexity across services, pricing, and delivery.