A place to start
Writing about AI, data and ERP.
These subjects meet in real work. Here are a few pieces that show how I think about them, from both the technical and commercial sides.
AI in actual work
Past the demo
Where AI helps, what it needs from your systems and data, and what I learned by building with it.
- The fourth single source of truth
- Teaching an LLM to use Acumatica
- Four apps and a Mac Mini under the stairs
Business data
Make the numbers mean something
Power BI, semantic models, and the definitions people need before they can trust an answer.
- Semantic model sprawl is a symptom, not the disease
- The semantic model finally has its moment
- Nobody models the Fabric bill until it lands
ERP in practice
What happens around the system
Implementation decisions, old scars, and the commercial realities behind technical change.
- Your second ERP migration is a different project
- Should you downgrade your ERP?
- What a Sage migration exposes before the new ERP goes live
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