What was the impact of the AI solution?

The project saved 74 million cubic feet of water in pilot efforts, enough to supply 10,000 households in Santiago for a year. Farmers reduced water use by 15%-40%, improved cost savings, and enhanced water security. Kilimo expanded contracts to restore 1.4 billion cubic feet of water across 15 watersheds from Chile to the U.S., transforming water conservation efforts. The platform rewards farmers for verified water savings, providing incentives to ensure ongoing efficient irrigation.

Source

Microsoft

Kilimo's AI-driven irrigation management system transforms water use in Chilean agriculture with Microsoft Azure AI

Use case typeIrrigation optimizationUpdated Jun 13, 2026

Kilimo has developed an AI-powered data-driven farming platform that integrates satellite images, weather, and soil data to deliver precise irrigation scheduling recommendations for farmers in Chile. The solution optimizes water use and improves agricultural water management under drought conditions.

Organization: Kilimo
Industry: Agriculture
Location: Chile
Published: December 2025

Reported outcomes

−40%

costCost savings

−15%cost

Strategic outcomes

New product / capabilityDelivered precise irrigation scheduling recommendationsCustomer experience & trustImproved farmers’ water securityMarket & geographic expansionExpanded restoration across multiple watershedsNew business modelRewarded farmers for verified water savings

Catalog median for cost savings deployments: −45% across 345 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

1AI and Machine Learning
2Water Conservation

Reducing water waste and optimizing irrigation schedules to adapt to drought conditions and ensure water security for farmers in the Maipo River basin, a region with extremely high risk of water stress.

The platform leverages Microsoft Azure technologies including Azure Kubernetes Service and Azure Blob Storage for scalable data processing and storage.
It uses AI tools such as Microsoft Foundry with Azure OpenAI models and Microsoft Document Intelligence to manage project tracking, contractual data, and balance information in an integrated reporting ecosystem.
Specialized AI agents deliver consolidated insights internally with plans to extend access to financing partners via a reporting platform.
Farmers receive weekly irrigation plans based on detailed data analysis and agronomist field advice, combining technology with human expertise for trust and efficacy.

Technologies

Microsoft Azure Azure Kubernetes Service Azure Blob Storage Microsoft Foundry Azure OpenAI Microsoft Document Intelligence

The project saved 74 million cubic feet of water in pilot efforts, enough to supply 10,000 households in Santiago for a year.
Farmers reduced water use by 15%-40%, improved cost savings, and enhanced water security.
Kilimo expanded contracts to restore 1.4 billion cubic feet of water across 15 watersheds from Chile to the U.S., transforming water conservation efforts.
The platform rewards farmers for verified water savings, providing incentives to ensure ongoing efficient irrigation.

Architecture

The solution involves cloud-based AI and data processing using Microsoft Azure Kubernetes Service and Azure Blob Storage. Microsoft Foundry integrates multiple AI agents including those built with Azure OpenAI and Microsoft Document Intelligence to manage diverse project and contract data, providing consolidated reports and enabling efficient water savings monitoring and verification.

Sources & evidence1

Groundedness: 4/5

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence