Five Business Agents Worth Building
Five useful workflows and the different ways to put them to work
SkyHaven Group is a research and advisory practice working with operators and investors building at the intersection of AI, agriculture, energy, and supply chain.
Five useful workflows and the different ways to put them to work
The first deployment solves a problem. The next one reveals what you actually built.
An illustrative irrigation decision shows why sensor readings, forecasts, local judgment, and an accountable approval belong in the same record.
A home-energy prototype shows the path from a read-only report to an approved action, with device limits, stale evidence, and the homeowner’s decision kept visible.
Start with the work people keep doing between systems. A rough, read-only trial can reveal more than another round of waiting for a better model.
Everything being described was a model, and nothing being described was an outcome. The model works. The system around it doesn't.
What 130+ agricultural leaders told us about how AI actually gets adopted and why the model is almost never the problem. Confidence
I noticed this while building Unix shell tools for a data pipeline. The commands I reached for were there to narrow the
Agricultural AI should not be benchmarked like a generic model race. The real question is whether a system, using both hard and soft data, improves real decisions and outcomes in the field.