Field Notes
Practical observations on AI, automation, and building systems that hold up in the real world.
Latest notes
Articles shown: 10
n8n vs Make: Why We Recommend n8n for Business Systems
The easiest tool for your first automation can become a constraint as your business grows. Here is why we build interconnected business systems with n8n.
Swiss FADP vs GDPR: Implications for AI Service Providers
How Swiss and EU data protection rules affect AI services, from prompts and model training to contracts, international transfers and individuals’ rights.
AI in Switzerland: The CHF 15 Billion Opportunity for Business
What Switzerland's AI research means for your next business investment, from generative AI and knowledge management to AI agents and measurable returns.
OpenAI DevDay 2026: A Simple Guide for Swiss Business Leaders
An AI assistant that keeps working, more affordable models and faster responses. Here are the OpenAI announcements worth knowing about, explained in plain language.
AI Adoption in Swiss SMEs: What the 2025–2026 Data Shows
Swiss SME AI adoption is rising, but the data shows a gap between individual tool use and governed business workflows. Here is what companies should do next.
n8n Automation for Business: When It Fits and What Production Really Requires
Understand when n8n is a strong fit, when it is not, and the reliability, security, testing and ownership controls required for production workflows.
Finance Reconciliation Automation: How to Automate the Work Without Losing Control
A practical architecture for automating expense, payment and invoice reconciliation while preserving source records, exceptions, approvals and an audit trail.
What Should You Automate First? A Practical Opportunity Scorecard
Use a practical scorecard to rank automation opportunities by capacity, frequency, rule clarity, risk, data readiness and implementation effort.
AI Agents and Swiss Data Protection in 2026: A Practical FADP Checklist
A practical Swiss FADP checklist for companies deploying AI agents with personal data, cloud providers, automated decisions and human approval.
Where AI automation actually creates operating leverage
A field guide to finding work worth automating, drawing the boundary, and measuring what changed.
Have an operational bottleneck worth examining?
A focused conversation to explore your use case, identify opportunities, and suggest practical next steps.