Après-ERP
Practical AI, ERP and data modernization — written for people who have to make it work in a real environment.
Après-ski is the part where everyone finally says what they actually thought of the conditions. This is that, for enterprise technology — AI strategy, ERP, data platforms and the governance around them. Real customisations, real integrations, real technical debt. No hype, and no roadmap features described as though they shipped.
- AI strategy
- ERP modernization
- Data platforms
- Microsoft Fabric
- AI agents
- Governance
- Technical debt
- Automation
- Azure
- Microsoft Dynamics 365 Business Central
- Enterprise integrations
AI + Business CentralHow to Use AI to Get More Value From Microsoft Dynamics 365 Business Central
Business Central already logs every turn you made. The interesting question is what it takes to make it tell you why you keep catching an edge in the same spot.
AI + Business Central10 Business Central Tasks You Can Start Automating With AI
Nobody’s first run of the season is a double black. AI automation does not start with an autonomous ERP either — it starts with the dull thing somebody grinds out every Tuesday morning.
AI StrategyMicrosoft Copilot vs. Custom AI: Which Is Right for Your Business Central Environment?
The answer is usually both — for different runs. The mistake is buying one pair of skis and expecting them to handle the whole mountain.
ERP ModernizationHow to Use AI to Find Technical Debt in Business Central
Everybody knows there is something buried under the snow. Almost nobody can say where it is, how deep it goes, or what it costs to leave it there.
AI ArchitectureBuilding an AI Integration Layer Around Business Central
Connecting an AI model to Business Central takes an afternoon. Connecting it correctly takes an architect — and you find out which one you did in the incident report.
Data ArchitectureFabric, OneLake, Lakehouses and Data Lakes: What Do They Actually Have to Do With AI?
Everyone nods when somebody says “we should put all our data in the lake.” Almost nobody asks which lake, or what is already floating in it.
Responsible AIShadow AI: Your People Are Already Using It. Do You Know What They Are Feeding It?
Nobody ducks a rope because they hate the resort. They duck it because the run on the other side is better and the queue for the open one is forty minutes long.
Sustainable AIMost of Your AI Bill Is Not Usage. It Is Compute You Never Needed.
A climbing AI bill feels like proof the thing is working. Quite often it is proof that the same paragraph has been paid for four thousand times.
AI AgentsYour First AI Automation Should Be Boring, and You Should Be Able to Prove It Worked
The process that would demo beautifully to your board is almost always the worst possible one to start with. Nobody learns to ride on the run they would film.
AI StrategyThe Questions to Answer Before You Buy an AI Platform
Every expensive platform failure started the same way: somebody chose the kit first and went looking for a mountain afterwards.
Responsible AIYour AI Agent Will Not Leak Personal Data Maliciously. It Will Leak It Helpfully.
The tracks that catch people out are rarely the ones roped off. They are the ones that are open, groomed, and lead somewhere nobody thought to check.