Normalized claim
Cost: 15-40% decrease
Farmers reduced water use by 15%-40%, improved cost savings, and enhanced water security.
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
15-40%
costCost savings
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: −40% across 177 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Kilimo
- Provider
- Microsoft
- Maturity
- Pilot
- Linked source
- Microsoft News
The project saved 74 million cubic feet of water in pilot efforts, enough to supply 10,000 households in Santiago for a year
Customer identity supportedSource describes one deploymentMaturity supported
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.
- 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
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Independent source available
- Quantified outcome available
- Technical implementation details available
Type: News ArticlePublished: Dec 9, 2025Publisher: Microsoft NewsEvidence: SecondaryConfidence: Low
AI-generated summary. Verify important details with the linked sources before relying on this case.
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