Due Diligence
AI-Enhanced Environmental Due Diligence
Remote sensing and field verification combined with AI analysis to produce defensible EUDR, CSRD ESRS E4, and EU Taxonomy assessments.
The challenge
AI-Enhanced Environmental Due Diligence
Satellite-derived deforestation and biodiversity claims look authoritative until a third party checks them against the ground. Due diligence that rests on remote sensing alone is fragile. Buyers, lenders, and regulators increasingly want field-verified evidence, not a dashboard.
How I work
The approach
A field-verified method, not a desk exercise.
01
Screen with remote sensing and AI
Sentinel-2 and Landsat time-series plus AI-assisted classification to flag deforestation, degradation, and land-use change across the asset or supply chain.
02
Verify on the ground
Targeted field checks and drone survey where the satellite signal is ambiguous or the risk is material.
03
Document defensibly
Compile a compliance package that maps evidence to EUDR, CSRD ESRS E4, and EU Taxonomy requirements.
What you get
Deliverables
Risk
Supply-chain deforestation risk
Geolocated risk screen with confidence levels and the points that need field verification.
EUDR
Gap analysis
Where the asset or supply chain stands against EUDR due-diligence obligations.
CSRD
ESRS E4 inputs
Biodiversity and ecosystem disclosure inputs traceable to evidence.
Evidence
Field-verified package
Documentation that survives third-party scrutiny.
My professional edge is ground verification of remote-sensing products — closing the gap between what a satellite claims and what the field shows. It is the core of the Cleantech Nexus mandate I hold now.
Environmental Intelligence Specialist, Cleantech Nexus