Why Climate Data is Forming the Risk Intelligence Blueprint for Commercial Insurance | Caroline Grey

What if the data you needed to price complex agricultural risks were available in near-real time instead of months later? In this episode of Making Risk Flow, host Jake Harding speaks with Caroline Grey, co-founder and CRO at Treefera, about how satellite imagery, AI, and scientific modelling are reshaping the future of insurance risk assessment. Caroline explains why the industry is moving beyond broad regional assumptions towards plot-level intelligence that enables faster underwriting, more accurate pricing, and entirely new insurance products. The conversation explores how insurers can use near-real-time agricultural and climate data to reduce claims exposure, improve operational efficiency, and respond proactively to supply chain volatility. Caroline also shares practical guidance on structuring complex datasets for different business stakeholders, building scalable partnerships, and validating new solutions through low-risk pilots. This episode offers valuable insight into how data-driven underwriting is creating a competitive advantage across commercial insurance markets. Fan Mail: Got a challenge digitizing your intake? Share it with us, and we’ll unpack solutions from our experience at Cytora. To receive a custom demo from Cytora, click here and use the code 'Making Risk Flow'. Our previous guests include: Bronek Masojada of PPL, Craig Knightly of Inigo, Andrew Horton of QBE Insurance, Simon McGinn of Allianz, Stephane Flaquet of Hiscox, Matthew Grant of InsTech, Paul Brand of Convex, Paolo Cuomo of Gallagher Re, and Thierry Daucourt of AXA. Check out the three most downloaded episodes: The Five Pillars of Data Analytics Strategy in Insurance | Craig Knightly, Inigo 20 Years as CEO of Hiscox: Personal Reflections and the Evolution of PPL | Bronek Masojada Implementing ESG in the Insurance and Underwriting Space | Simon Tighe, Chaucer, and Paul McCarney, Moody's