ClimateLens 2.0 is Here → See what’s new
Andy Paterson • February 3rd, 2026.
AI models are providing increasingly accurate weather forecasts. However, the difficulty in many cases is knowing what to do with that information. That disconnect means accurately predicted droughts, floods, and extreme weather events still impact operations, crop yields, and assets.
With accelerating climate risks, teams across the agricultural value chain are under pressure to develop better plans, communicate them across operations to mitigate losses, and capitalize on opportunities. Teams from procurement to on-site growers need the tools and expertise to turn weather insights into actionable, reliable decisions.
At ClimateAi, we build with those problems in mind. ClimateLens 2.0 enables users to personalize climate intelligence for their operations and workflows. Allowing accurate weather forecasts be the enabler for action, not an end result.
The latest iteration of our ClimateLens tool was built in partnership with our clients to ensure that weather intelligence informs critical decisions.
What This Means for You:
ClimateLens 2.0 workflows connect forecasted weather risks with internal customer planting, contract, and delivery data to automatically alert growers, prioritize at-risk volumes, and adjust operations ahead of extreme weather.
Users trigger a workflow via a prompt or a dashboard
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ClimateAi’s personalized workflow agent orchestrates a series of steps:
1. Pull and Analyze ClimateAi Insights: Identify where and when relevant weather events are emerging, based on the crop, region, risk types, and business priorities that matter most to the customer.
2. Query Customer Data: We use the risk locations and time windows from Step 1 to securely query company records for relevant deliveries, production, labor, or any other relevant datapoint.
3. Integrate Insights with Customer Data: Combine forecasted events (Step 1) with customer exposure (Step 2) to generate personalized actions:
Most weather tools will provide data without considering your team’s day-to-day work and who needs to act, when, and why.
ClimateLens 2.0 takes climate intelligence a step further by integrating it into your operations and workflows. Here are two examples of how we fit into customer workflows:
This workflow is designed to help customers anticipate and respond to pest and disease threats in their crops by combining forecast data, risk modeling, and customer product knowledge. The steps the agent takes here are:
What this means for you:
This allows growers to take proactive, precise action, reducing crop losses, ensuring products are applied under conditions where they are most effective, and reducing the need for costly reapplication.
2. Procurement Process Workflow
This workflow helps sourcers anticipate weather-related disruptions to contracted crop volumes at specific locations, preventing delays in the procurement process.
The workflow combines forecast data, risk modeling, the customer’s agricultural knowledge, and contracted weekly volumes by location. Here is the series of steps the agent takes:
What this means for you:
This allows sourcing teams to predict disruptions in procurement schedules and alert their logistics and operations teams, proactively communicate with growers, and secure alternative supply before shortages occur.
If you are not already a ClimateAi customer, and want to see how these updates can be integrated into your workflows.
👉 Book a discovery call to see how we can ensure you take action on your weather intelligence
Most weather tools focus on delivering forecasts or risk scores. ClimateLens 2.0 is designed to turn those forecasts into action. It connects climate insights directly to your crops, locations, contracts, and operational workflows, so teams know who needs to act, when, and why, rather than interpreting raw weather data on their own.
ClimateLens 2.0 supports operational and planning decisions across the agricultural value chain, including planting and harvest timing, pest and disease management, procurement planning, logistics coordination, and automated communication. Workflows are tailored to the specific risks, crops, and business priorities that matter most to each customer.
Alerts are generated based on the customer’s crops, regions, phenological stages, and selected risk types. ClimateLens 2.0 then combines those forecasts with customer-provided data—such as contracted volumes, product application requirements, or delivery schedules—to surface only the actions that are relevant and time-sensitive for each team.
ClimateLens 2.0 only accesses customer data that is explicitly provided and relevant to the workflow being executed. Data is securely queried and used solely to generate actionable insights for the customer, not to train models.
Yes. Workflows can be tailored by role (e.g., grower, procurement, logistics), crop, geography, and risk type. This ensures each team receives alerts and recommendations aligned with their responsibilities, reducing alert fatigue and improving response times.
ClimateLens 2.0 uses ClimateAi’s models, which forecast depending on the decision context. For example, near-term forecasts can be predicted with probability scoring up to 7 months ahead. But throughout the long term, the Adapt tool can forecast decades out.
If you’re interested in seeing how ClimateLens 2.0 fits into your existing workflows, book a discovery call with the ClimateAi team to explore use cases tailored to your operations.
Andy Paterson is a content creator and strategist at ClimateAi. Before joining the team, he was a content leader at various climate and sustainability start-ups and enterprises.
Andy has held writing, content strategy, and editing roles at BCG, Persefoni, and Good.Lab. He has helped build one of the industry’s most popular newsletters and regularly publishes environmental science articles with Research Publishing.