AI-Coding Your Decisions? Who Stands Behind the Numbers?
Last week, a customer showed us a dashboard their team had vibe-coded with AI. It looked great. We loved seeing what they had built.
It brought the Wall Street Journal’s recent discussion about AI replacing enterprise software straight to the chartering desk (source linked below). Building a tool is one thing. Running it reliably is another.
A voyage-comparison dashboard? Great use case. But which bunker prices is it using? Can the vessel make the laycan? Are the right charter-party terms built into the calculation?
Then a vessel gets delayed. A fixture fails. Can your dashboard keep up, or does it still compare voyages against yesterday’s assumptions?
We want you to keep experimenting with AI. But you need people who understand shipping, take responsibility for making your data pipelines reliable, and fix complex problems when systems stop talking to each other.
So you can focus on the next fixture, with confidence in the numbers behind it.
This Wall Street Journal paper goes hand-in-hand with what we’re talking about today:
– For a broader look at how AI is reshaping enterprise software (and why the “AI kills SaaS” narrative hasn’t played out) this piece is worth a read:
The same holds true for software in commodities and shipping.