Life-saving data: Empowering Climate Decision-Making

Author
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2025

Overview

La Mojana, a Colombian region of 400,000 residents, faced severe climate challenges including recurring floods, droughts, and ecosystem degradation that threatened agriculture, infrastructure, and human lives. The region's climate governance struggled with fragmented data across agencies, manual processing of thousands of technical reports, and disconnected environmental and social datasets. This resulted in delayed adaptation projects, with some initiatives stalling for up to five years, leaving communities vulnerable to escalating climate threats.

Challenge

The Adaptation Fund needed to develop a centralized, interoperable decision-support platform that would integrate decades of environmental and social data, incorporate local knowledge, and provide authorities with tools for rapid, evidence-based climate decisions. The solution needed to address the five-year project backlog while establishing a replicable framework for other high-risk regions.

Solution

Using Agentic AI on Amazon Bedrock, Blend transformed over 20,000 reports, climate models, and intervention records into actionable intelligence within seconds. Built entirely on AWS, the platform unifies environmental, climate, and socioeconomic datasets into a single source of truth. Geospatial intelligence powered by Amazon RDS overlays flood maps with biodiversity zones, infrastructure, and population data to pinpoint the highest-impact intervention areas.

Working alongside PhD data scientists from two of Colombia’s top universities, Blend developed advanced predictive models to forecast climate scenarios and guide targeted conservation and adaptation strategies. Automated workflows using AWS Lambda, Step Functions, and EventBridge cut decision cycles from weeks to minutes, clearing a five-year backlog in just three weeks. The secure, scalable architecture ensures high availability, strong authentication, and seamless access for users in multiple regions.

Impact

The platform has transformed climate governance in La Mojana, enabling authorities to respond to threats in near real time and shift from reactive crisis management to proactive resilience building. All stakeholders, from national agencies to community leaders, now operate from a single trusted data source, improving coordination, transparency, and alignment across projects.

Local knowledge is systematically integrated, ensuring interventions are both socially relevant and technically sound, while collaboration with academic experts enhances the platform’s scientific credibility and adoption.

More than 400,000 residents benefit from faster, better targeted projects ranging from flood defenses to water infrastructure, delivered when and where they are needed most. Key measurable impacts include:

  • 90% faster information retrieval, reducing project lookups from six hours to just ten minutes
  • Five year backlog cleared in three weeks, unlocking stalled adaptation initiatives
  • 800% improvement in data completeness through integration with eight additional sources
  • 17% reduction in storage redundancy, boosting system performance and lowering costs

Most importantly, these capabilities translate into timely, evidence based climate adaptation measures that are faster to deploy, more precise in targeting, and better aligned with local needs, strengthening both environmental resilience and community well being.

Key Data Points

90%
faster knowledge retrieval
8x
increase in insight completeness and clarity
20,000+
documents processed per session via cognitive agents