Starting point
Humanitarian initiatives face an honest question: where does AI genuinely make a difference in their field, and where does it remain demo theater. As members of an international accelerator for humanitarian startups, we encountered early-stage founders who wanted to use AI but had no concrete picture of what for. Before the enablement, the buzzword dominated. After three weeks, first use case sketches — that was the goal.
What we did
We developed and delivered an AI curriculum for humanitarian founders within the accelerator. The content: eight canonical use case domains in the humanitarian context, seven steps of AI project management, fundamentals of how AI works, and a model for founders' own use case discovery. Format: talk module plus one-on-one coaching with the founder teams. Engagement ongoing since 2023.
Results
8
Humanitarian AI use cases in the curriculum
7
AI project management steps taught
5
Curriculum building blocks from use case to practice
What we learned
AI enablement does not fail due to lack of interest — it fails at the translation from aspiration to use case. Anyone who leads founders to tools without this step gets demo theater. Anyone who first puts them through a use case filter gets proposals with substance.
This is the summary. How we approached it methodologically — which architectural decisions we made, what we discarded and which patterns can be transferred to other contexts — we discuss in a personal conversation.
Not because we want to sell you something. But because this depth is what our clients engage us for — and it does not belong on the open internet.
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