Case study

Reliable farming answers on WhatsApp for producers in the Río Lempa watershed

Challenge

Producers and extension staff in the watershed needed timely agronomic guidance, but in-person technical assistance can't cover every question.

What we did

We designed and launched an AI assistant that answers from expert-validated knowledge, brings in climate information and logs every conversation for human review.

Outcome

An always-available assistance channel, with answers traceable to their sources and an improvement cycle driven by expert review.

Technology

  • RAG
  • WhatsApp
  • LLM
  • Climate data

DAP's role. DAP designed the solution and supports its operation. Intellectual property is governed by the agreement with the client.

More of our work

Coffee Cloud dashboard with a map of Guatemala and indicators
Challenge
Coffee-farming families were making management decisions without access to climate information or timely technical assistance.
Outcome
An internationally recognized farmer-information model (MIT Technology Review Innovators Under 35, Cracking the Nut 2017).
AI agents and assistants for landscapes
~6,000coffee farmers reached
Challenge
Financial institutions needed to understand their portfolios' exposure to climate hazards to manage risk and access green finance.
Outcome
A climate-exposure diagnostic that supports risk management and conversations with funders.
Geospatial data, GeoAI and climate

Next step

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