AI Climate Agents: What Are They and How Can They Help?

Andy Paterson • October 30th, 2025.

AI has already proven its efficacy in improving weather forecasts, optimizing energy and supply chains, and helping companies adapt to climate change and build resilience. AI agents for climate will go a step further. 

Opposed to telling you the weather, your climate risks, and when you should be turning off lights. AI agents for climate can observe weather, reason about how it might impact operations, suppliers, or the yields of certain crops, and take actions with minimal human input.

As the costs of inaction on climate change increase and the ROI of action becomes clearer, AI climate agents are becoming a critical way to automate resilience and profitability. This article explains what AI climate agents actually are, what they can do, and their business case. 

What is An AI Climate Agent?

An AI climate agent is an autonomous system that can analyze large climate datasets, integrate them with company data (such as crops, assets, infrastructure, or suppliers), and recommend or execute actions, often with little to no human input.

These agents use a blend of weather, biological, and economic data to generate insights that previously required domain experts. That means every grower, buyer, or analyst can act with the confidence of a specialist.

Unlike traditional dashboards or predictive models, AI agents can engage in two-way conversations with users to refine insights, explore scenarios, and continuously learn from and interpret new data.

The Business Case for AI Climate Agents

In Google’s recent ROI of AI 2025 report, they found that 74% of executives report achieving ROI within the first year of using AI agents.

Through a recent project with NEC, we also found that our AI climate agent has a strong potential for quantifying the impact of climate change on crops like cocoa and rice, and assessing the ROI of different adaptation measures.

In a survey of their customers, CO2AI found that their AI agents for climate drive a 300% ROI in their first year by simplifying emissions data collection and calculations.

Across these examples, and many others, it’s clear that when AI agents are provided with high-quality data, they observe trends and automate decision-making with better business outcomes.

AI Agents for Climate Taxonomy 

Within the broad umbrella of AI climate agents, there are many different types of climate action tasks they perform. These are the main agents currently in existence, but in the future, there may be many more. 

• AI Adaptation agents: Adaptation agents can take accurate weather forecasts and combine them with supply chain, crop, or economic data to provide impactful adaptation measures tailored to that company. Helping businesses understand the impact of and respond to droughts, hurricanes, extreme precipitation, and heat.
• AI Agents for Climate Reporting: Agents can help companies find, clean, and calculate emissions data across their operations and supply chains, automatically assigning emissions factors and reaching out to suppliers for data. They can also automate alignment with compliance frameworks such as SB 253, SB 261, TCFD, or ISSB S2, and generate draft disclosures.
• AI Agents for Mitigation and Decarbonization: These agents can help companies reduce emissions, energy use, and resource consumption across operations, transport, and production. They can use real-time operational data to optimize systems autonomously.
• Multi-Agent Systems: These coordinate several specialized agents across multiple systems. For example, the agent for emissions reporting can add that information to the adaptation agent, which can then share it for reporting, creating an agentic ecosystem.
  

What ClimateAi’s Climate Agent Can Do

We see our agent as a democratizer of climate information. Interpretation of climate data was historically limited to a few in-house experts. ClimateAi’s agent takes our accurate, granular weather forecasting models and combines them with crop-, producer-, and phenological-stage-specific information to provide actionable advice on adapting growing times, optimizing inputs (best fertilizer, pesticides), and logistics to minimize costs and maximize yields.

The video below shows how companies can use ClimateAi’s agent to:

• Determine how the weather might impact crops using grower-specific data from the farmers they typically buy from.
• Create custom dashboards to track specific weather events in particular regions, and set up workflow triggers when certain thresholds or weather patterns are met.
• Get actionable insights specific to the grower, crop, and phenological stage, and easily share that with the grower, to ensure high yields and low operational costs. 

AI climate agents are the next iteration for climate action. They enable quicker, more efficient, and more consistent decisions without the need to understand climate data or how it might impact your company. 

To find out more about how ClimateAi’s climate agent meets customer demand for rapid, scalable, reach out for a demo.

AI Climate Agents FAQs