The Hype Gap: AI for Finance and Accounting Ops – From Someone Who’s Been Through The Before
What you’ll get
Every two weeks, I send a short email covering what I’m learning as I work through AI adoption for finance and accounting operations. I’ve spent 30+ years in this space and led RPA implementation at enterprise scale — so when I look at AI, I’m pattern-matching against a hype cycle I’ve already lived through. That perspective shapes everything I write.
Subscribers get:
Honest tool assessments — I test AI tools on real finance and accounting work and report what actually happens. Not what the demo showed. Not what the press release promised. What happened when I pointed it at messy data in an operational context.
RPA lessons that apply right now — The automation adoption curve has predictable failure points. I’ve hit most of them. I write about what those patterns look like in the current AI cycle so you can see them coming before your project stalls.
Practical questions to ask before you commit — Budget, headcount, vendor selection, controls, auditability. The questions your team should be asking that don’t show up in the pitch deck. Written for the person doing the work, not the person approving the slide.
What I’m getting wrong — Learning in public means sharing the misses, not just the wins. When something doesn’t work the way I expected, I write about why. That’s usually where the most useful lessons are.
No vendor sponsorships. No affiliate links. Just a practitioner sharing what he’s finding.
Every two weeks, delivered to your inbox.
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