Analysing ESG documentation
Analyse sustainability reports, policies, certifications and disclosures (such as those under CSRD). Identify relevant ESG indicators and support insights with source references.
AI for ESG due diligence
Automating ESG analysis with AI
Many companies use AI to analyse ESG documentation. The findings often remain isolated insights rather than being systematically incorporated into due diligence reports or systems. The analysis is automated. The processing is not yet. AI in ESG due diligence makes it possible to analyse and compare large volumes of sustainability information, so investment teams can focus on what really matters: interpretation, risk assessment and decision-making. We help private equity firms and investment funds turn ESG analysis into structured, immediately usable outputs, with AI solutions that fit existing workflows and systems and take transparency, consistency and compliance into account.
AI document analysis in ESG due diligence: from isolated insights to structured ESG data
AI makes it possible to analyse ESG documentation faster and more broadly. The challenge, however, is to process this information consistently within due diligence processes. Combining analysis with structuring creates a scalable, reproducible process for ESG due diligence.
Applications of AI in ESG due diligence
Automating ESG questionnaires
Answer standardised ESG questions based on documentation and apply frameworks across multiple target companies.
Structuring ESG data and scores
Turn ESG information into structured datasets and scoring models, ready for comparison and reporting.
Integration with investment processes
Incorporate ESG findings directly into due diligence reports, dashboards or internal systems.
“I’m very pleased with how we worked together. The close communication and detailed sprint reviews ensured that the model met our needs exactly, resulting in a successful launch for our customers.”
The value of AI in ESG due diligence
01
Less time spent on manual document analysis
02
Consistent and comparable ESG analyses
03
Full traceability and reliability (audit trail for each data point)
04
Scalable as regulations and data volumes grow
05
ESG data ready to use for reporting and decision-making
Frequently asked questions,
Short answers to the most frequently asked questions about using AI in ESG due diligence
No. Data is processed in a protected environment and is not used to train public or external AI models.
The solution can be configured to align with relevant ESG frameworks and regulations, with a focus on transparency and verifiability.
Yes. The solution can be adapted to different frameworks, such as the CSRD, the SFDR or internal ESG criteria.
All insights are backed by source references and confidence scores, so they can be validated and reviewed.
Yes. The solution supports analysis and structuring, while leaving interpretation and decision-making to investment teams.
ESG-related documentation such as sustainability reports, policy documents, certifications and internal reports.
Looking to use AI for ESG due diligence in your investment process?
Curious how this works in your ESG due diligence? We’ll get in touch with you straight away.
