I've watched a platform shift before.
I spent over fifteen years as a Lotus Domino architect and developer, IBM certified, instructor grade. I knew that platform inside out, and I was good at it. Consulting, training, developing, it was a whirlwind. Demand was off the charts.
Then things started to shift; the market moved. Slowly at first but accelerating. I watched as more and more companies moved away from Lotus Notes/Domino. It's scary when people start referring to your bread & butter as legacy systems.
It quickly became obvious I needed to move too. ServiceNow was the natural choice. I already had some limited experience with it from one of my Domino clients. It was another application development platform with workflow, approvals and all that other good stuff, but this time built on a modern cloud platform. I started again.
That was the best career call I ever made. So when I say AI is the next one, that's not enthusiasm talking. I've been through this tectonic shift before, and I know what it costs to wait.
I've now been a ServiceNow Solution Architect for over a decade. HRSD, CSDM, CMDB, ITSM, ITOM; ten years of helping organisations get this platform right. I'm lucky, it's a job I love doing.
Which brings me to why I'm writing. I want to use AI to deliver better, faster, for my clients. That's it. Not AI as a product. Not AI as content. Better delivery.
Over the next few weeks I'm going to write up what I've been doing about that; what I tried (everything from local transcription engines to a workshop full of people who don't exist), what worked, and the bits that went wrong, because the misses are half the value. Everything will be backed by something real; dated files, benchmarks, sandbox experiments. And a word on how I work, because it matters; client data never goes into my experiments or anything I publish. I lean heavily, and deliberately, on synthesised data and synthesised workshop transcripts. I built fake clients so I'd never have to experiment on real ones.
Next up, where I think the real opportunity sits; and it's not where the noise is.
If you've been through your own platform shift, or you're staring at this one wondering what it means for you, give me a shout on the LinkedIn post.
First published on LinkedIn, 2 July 2026. The conversation lives there; the writing lives here.