Blog
Thinking on agentic AI
Not a newsletter. Not a content calendar. Articles when there is something worth saying.
AI Process Automation in Manufacturing: Beyond the Production Line
Manufacturing companies automate production but leave back-office and quality processes manual. Here is where AI agents deliver the highest ROI in manufacturing operations — and it is not where you might expect.
The 70/30 Problem: Why Your Automation Only Handles the Easy Part
Most automation projects automate the 70% that was already manageable and leave the 30% of exceptions that consume 80% of your team's time. Here is why — and what to do about it.
What 12 Years at BMW Taught Me About Process Automation
Before founding Jevolution, I spent 12 years in enterprise IT at BMW Group. Here is what I learned about why automation projects fail, what actually makes processes work, and why I started building AI agents.
What is Agentic Process Automation?
A clear definition of Agentic Process Automation — how AI agents differ from scripts and RPA, why process understanding matters more than model sophistication, and when this approach makes sense for your business.
Personal Context Protocol — Your AI Agent Shouldn't Own Your Soul
Agentic AI needs deep personal context to be useful. But who owns that context? A proposal for PCP — a protocol where humans own their data and agents just rent it.
What Agentic AI Actually Means
A clear, practical definition of agentic AI — what makes an AI agent different from rule-based automation, and why the distinction matters for business decisions.
Why Your Business Process Automation Failed
An honest look at why RPA and early automation projects lose adoption — over-rigid design, ignored edge cases, no escalation path — and what the agentic approach fixes structurally.