Practical work
My advice comes from work I have been directly involved in. This is a selected view of the systems, products and decisions that have sharpened my judgment.
Nine digital colleagues at Tranemosegård
Residents across eight departments needed answers grounded in their own documents, while employees also needed an internal role for daily operations.
AI decisions for GoMore's leadership
GoMore/Getaround's leaders needed a grounded view of what AI could change over the next three years and which decisions would follow.
Voice AI Companion for Elderly Care
Elderly citizens are lonely, and the technology they are offered often requires tapping buttons and reading screens. Many people simply cannot do that.
AI-Powered Concert Company
How much of a real concert company can specialized AI agents reliably operate across booking, contracts, marketing, communication and payments?
Crowd Flow Analysis for Smukfest
When thousands of festival-goers switch stages at the same time, bottlenecks form. Without data, it's guesswork where the problems occur.
AI-Powered Risk Assessment for Smukfest
Hundreds of artists, thousands of guests, and a security team that needs to prepare for everything from mosh pits to quiet jazz sessions.
Danish Data for AI: MCP Servers
Danish public registries such as Statistics Denmark and CVR require complex API calls and return large responses when AI systems use them.
Agent-First API for Real Estate Data
Realview wanted to test how AI agents could work directly with its real estate data through a modern, structured interface.
Chatbot Platform for BL and Others
BL needed a scalable chatbot platform capable of serving multiple organizations safely, each with different knowledge bases, boundaries and requirements.
Global Sales Forecasting
IKEA needed reliable sales forecasting across more than 30 countries with different market conditions, seasonal patterns, holidays and local demand.
Do you face a consequential AI decision?
Write about the decision, or ask about a leadership briefing or talk.
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