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AI for ESG due diligence

Automating ESG analysis with AI
Audit automation

Automating ESG analysis with AI

Many companies use AI to analyze ESG documentation. The results often linger as isolated insights and are not structurally incorporated into due diligence reports or systems. The analysis is automated. The processing is not yet.

AI in ESG due diligence enables large volumes of sustainability information to be analyzed and compared, allowing investment teams to focus on what really matters: interpretation, risk assessment and decision-making. We help private equity and investment funds translate ESG analysis into structured and immediately actionable output, with AI solutions that connect to existing workflows and systems: with a focus on transparency, consistency and compliance.

AI document analysis in ESG due diligence: from loose insights to structured ESG data

AI enables faster and broader analysis of ESG documentation. However, the challenge lies in processing this information uniformly within due diligence processes. Combining analysis and structuring creates a scalable and reproducible process for ESG due diligence.

Applications of AI for ESG due diligence

Analysis of ESG documentation
Analyze sustainability reports, policies, certifications and disclosures (such as CSRD). Identify relevant ESG indicators and substantiate insights with source references.

Automate ESG questionnaires
Answer standardized ESG questions based on documentation and apply frameworks to multiple targets.

Structuring ESG data and scores
Convert ESG information into structured data sets and scoring models, ready for comparison and reporting.

Integration with investment processes
Process ESG outcomes directly into due diligence reports, dashboards or internal systems.

“I am very happy with the collaboration. The close communication and detailed sprint reviews ensured that the model exactly matched our needs, resulting in a successful launch with our customers.”

Yannick Ludwig
Head of Product
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The value of AI in ESG due diligence

  • Less time spent on manual document analysis

  • Consistent and comparable ESG analyses.

  • Full traceability and reliability (audit trail per data point)

  • Scalable with increasing regulations and data volumes

  • ESG data directly usable for reporting and decision-making

Using AI for ESG due diligence within your investment process?

Wondering how this works within your ESG due diligence? Fill out the form and we’ll be in touch.

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FAQs

Brief explanation of the most frequently asked questions surrounding the application of AI around ESG due diligence

No. Data is processed within a protected environment and not used to train public or external AI models.

The solution can be designed to align with relevant ESG frameworks and regulations, with a focus on transparency and accountability.

Yes. The solution can be aligned with different frameworks, such as CSRD, SFDR or internal ESG criteria.

All insights are substantiated with source references and reliability scores to allow for validation and review.

Yes. The solution supports analysis and structuring, but leaves room for interpretation and decision-making by investment teams.

For ESG-related documentation such as sustainability reports, policy documents, certifications and internal reporting.