ESG Environmental Social Governance

Intelligent ESG Automation - Data, Compliance and Reporting in Real Time

Challenges addressed

Lack of automation and integration of ESG data into decision-making systems.
Difficulties in complying with ESG regulations and compliance reporting.
Lack of transparency of ESG impacts on investment and credit processes.

SLS-powered solutions

Automated ESG analysis and scoring based on KRS data, stock reports and ESG ratings.Integration of ESG into credit underwriting, investment and risk analysis.
Generation of ESG reports compliant with EU regulations (CSRD, SFDR, EU Taxonomy).
Real-time monitoring and automatic alerts on ESG changes.

Results achieved

Increased compliance with ESG regulations by 35%.
Reduction in ESG reporting time and costs by 75%.
Improved optimization of investment and credit decisions.

ESG (Environmental Social Governance)

ESG (Environmental, Social, Governance) management is becoming a key component of the strategy of banks, insurance companies and financial institutions. New regulations require not only meeting ESG standards, but also proactive reporting and sustainable decision-making.

Our no-code/low-code platform enables automation of ESG data collection, processing and analysis, integration with internal and external systems (e.g., NCR, company reports, ESG ratings), and intelligent decision support - so that banks and financial institutions operate in full ESG compliance and optimize their processes.

ESG as the foundation of decision-making strategy - Automation and AI.

With our technology you can:

  • Automate ESG data collection - integration with KRS, company reports, external ESG databases, internal systems.
  • Assess compliance with ESG regulations - analyze ESG ratings of counterparties, investments and internal bank policies.
  • Intelligently process ESG information - AI assesses the impact of ESG on decision-making processes (e.g., loans, investments, business relationships).
  • Automatically generate ESG reports - meeting regulatory requirements (CSRD, SFDR, EU Taxonomy).

How it works

  • Gather data from multiple sources - NCR, financial statements, ESG reports of companies, rating databases, stock exchange information.
  • AI processes and assesses ESG impact - scoring based on environmental, social and management data.
  • Integration of ESG into decision-making processes - automatic consideration of ESG in credit underwriting, investments and risk analysis.
  • Automated reporting and compliance - meeting regulatory requirements of the EU and other supervisory institutions.
  • Monitoring and alerts - the system tracks ESG changes in real time and generates recommendations for action.

Applications for the financial sector and large enterprises

  • Banks and fintechs - assessment of customer and counterparty compliance with ESG policies, impact of ESG on lending and investment decisions.
  • Investment funds and VCs - ESG as a criterion for portfolio company selection and risk management.
  • Insurance - ESG risk analysis of corporate clients, sustainability compliance of policies.
  • Large corporations - automation of ESG reporting, integration with accounting and ERP systems.

Technology that ensures ESG compliance and optimization

  • No-code/low-code - rapid implementation of ESG rules without coding.
  • AI and ESG scoring - real-time ESG risk analysis.
  • API integrations - connect to company registries, stock market data, ESG reports, KRS.
  • Automatic reporting and alerts - ESG monitoring in banking and investment processes.

ESG compliance is not only an obligation, but also a competitive advantage.
With AI and ESG automation, you can make better business decisions, minimize risk and increase operational transparency.

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