Hauge Korn

Hauge Korn operates as a trusted third party in a market where relationships are everything. Jacob’s role is to make direct farmer-to-farmer trade happen in a safe, transparent, and efficient way: finding the right match between buyer and seller, at the right price, with the right logistics.

Hiring staff was one option, but it would introduce coordination overhead and dilute the personal trust that made Hauge Korn valuable in the first place. The real question was whether the business could scale without losing the human at its core.

The shift came in the autumn of 2024, when Jacob attended a network event in Himmerland where CHI researcher Jacob Sherson presented on Hybrid Intelligence. For Jacob From, it was the first time the logic clicked.

That same weekend, he went home and started building.

What makes Hauge Korn a Hybrid Intelligence case, and not just an AI adoption story, is the architecture of how human judgment and machine analysis are combined.

Jacob built a set of specialized AI assistants fed with his own business data: grain analyses, transport distances, buyer lists, prices, and market information. Rather than one general-purpose tool, he decomposed his workflow into distinct tasks, each handled by a targeted assistant.

The AI now handles continuous market monitoring, generates buyer-seller match proposals, and produces customer-specific market briefings that previously required hours of manual work. Crucially, much of this happens overnight, so that when farmers call Jacob first thing in the morning, he already has a fully updated picture of the market and can offer qualified, human guidance from the very first conversation of the day. The AI does the groundwork while Jacob sleeps; Jacob does the judgment work when his customers need him.

But he remains the decision point in every trade. He validates the matches, reads the relational context, and makes the call.

This is Hybrid Intelligence at the workflow level: AI handles pattern recognition and option generation across the full data landscape; Jacob contributes contextual judgment, trust, and the relational intelligence that makes a trade actually happen.

Importantly, the system was not bought off the shelf; it was built around Jacob’s own business, data, and expertise. The value does not come from using AI alone, but from combining AI capabilities with years of domain knowledge and relationships in the grain market. Generic tools can generate suggestions, but they cannot understand the tacit knowledge, trust, and customer-specific context that ultimately determine whether a trade succeeds.

The system has also changed the way Hauge Korn creates value. What began as a tool for improving internal workflows evolved into a platform for delivering market intelligence, personalized recommendations, and customer-specific market reports at a level that would previously have been impossible for a one-person business. Rather than replacing human interaction, the technology expanded Jacob’s ability to serve customers and strengthen relationships.