Building AI at DIS
Most companies use AI
at 20% of its potential.
I fix that.
AI lead at a Business Central partner. I document what works, and what doesn't.
Currently
Building a ticket-analysis agent at DIS. Incoming support tickets get a draft analysis automatically: relevant documentation pulled, context attached, so consultants start at the problem instead of the lookup.
Week 1 of 6.
AI Vision
Five layers between a chatbot and a colleague.
Context, tools, knowledge, and a clear goal. Each layer makes the model smarter. Together they turn AI into something that actually works inside a company.
Explore the model →How I work
How I approach it.
Map how work flows. Find where time disappears.
Faster, better, provable. At least two, or skip it.
Five layers, five decisions. Including the budget.
Every step delivers. AI suggests, humans validate.
What I've built
Projects that prove it.
Featured · Enterprise
BC Toolkit
A complete developer environment that lets you search, understand, and generate code across an entire Business Central codebase, in seconds.
Follow my work.
I write about AI adoption, build tools, and share what I learn. If that interests you, let's connect.