
The episode features a roundtable discussion on the importance of understanding processes before implementing AI, automation, and observability in MSP operations.
In this episode of The IT Experts Podcast, I hosted an MSP Insights Roundtable on AI, automation, and observability at scale, bringing together three brilliant guests, Joe Burns, Fiona Challis, and Nick Horner. What struck me straight away was how all three agreed on one thing before we even got into the detail. AI, automation, and observability only work when you understand your own processes first. Joe walked us through how his MSP, Reformed, built its operational maturity by identifying repetitive tasks, spotting where human error crept in, and asking his team what they actually disliked doing. Only once that groundwork was done did he bring in automation, including an early AI triage system on the service desk, and it paid off. Nick added a perspective I loved, describing how starting small with clients avoids the scope creep that can derail an automation project before it even gets going. He shared a story about a modest HR automation that grew organically once the client saw the value for themselves, and how bringing end users into the process from day one builds the kind of trust that makes AI, automation, and observability actually stick. Getting genuine buy in, as Nick…
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