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preeco | sustainability

AI Support

AI-powered support for CSRD reporting with over 60 AI features across 18 feature families – from intelligent data completion through automatic text generation to automated plausibility checks. You choose the AI provider yourself and configure it per team with your own access – for more efficient ESG reporting with full data control.

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AI GOVERNANCE

AI Under Your Control – Provider Configurable per Team

Over 60 AI features across 18 feature families support your ESG reporting across modules: materiality assessment (impact detection, severity benchmarks, screening of physical and transition climate risks), data collection (emission factor suggestions, NACE code suggestions, material and waste classifiers), report drafting (report section creation and narrative assistance in all ten disclosure reports), plus targets and analysis (target, goal and measure formulation, recommendation of the consolidation method, species research, location sensitivity narratives, discovery of ecosystem dependencies and BAT research). You choose the underlying AI provider yourself and configure it per team – with OpenAI, Langdock or an OpenAI-compatible model and your own access. This keeps you in control of where and how your data is processed.

  • Over 60 AI features in 18 families across all phases of the CSRD value chain
  • AI provider freely configurable per team (OpenAI, Langdock or OpenAI-compatible)
  • Your own API access – you decide which provider processes your data
  • Control over data disclosure and processing location
  • Switch-off options as well as call and time limits per AI feature
  • Suggestion functions: results are offered for adoption, never saved automatically
  • Where authoritative reference lists exist (incl. critical raw materials and waste codes), the system classifies deterministically – the AI does not guess
  • Three-level progress indicator during generation
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AI Under Your Control – Provider Configurable per Team

DATA COMPLETION

AI-Powered Data Completion

The integrated AI accelerates data collection in your ESG reporting: emission factor suggestions in the greenhouse gas calculation, NACE code suggestions when creating organizations, and material and waste classifiers in the circular economy – each against stored reference lists and consistently offered as suggestions for adoption.

  • Emission factor suggestions in the greenhouse gas calculation
  • NACE code suggestions when creating organizations
  • Material and waste classifiers in the circular economy (against stored reference lists)
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AI-Powered Data Completion

TEXT GENERATION

Automatic Text Generation for Sustainability Reports

Report section creation and narrative assistance generate structured text drafts for all ten disclosure reports based on the collected data – in ESRS-compliant language. All generated texts can be individually customized and approved.

  • Report section creation and narrative assistance in all ten disclosure reports
  • ESRS-compliant report language
  • The report language is the active interface language – AI narratives are created in all 24 languages, supported by the glossary
  • Individual customization and approval
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Automatic Text Generation for Sustainability Reports

QUALITY ASSURANCE

Plausibility Checks and Quality Assurance

The completeness assessment per report shows the ratio of filled to required data points, the plausibility check against the previous period detects outliers with alert thresholds and a confirmation dialog, and the target forecast projects target achievement year by year with probability of achievement. This ensures data quality before your report goes to external audit.

  • Completeness assessment per report from the ratio of filled to required data points
  • Plausibility check against the previous period with alert thresholds
  • Target forecast: year-by-year projection of target achievement with probability of achievement
  • Ensure data quality before external audit
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Plausibility Checks and Quality Assurance

RECOMMENDATIONS

AI Recommendations and Analyses

The AI supports you from setup to ongoing analysis: AI impact detection identifies ESG impacts based on your industry and company context, while NACE code suggestions classify your industry based on the company description. The recommendation of the consolidation method supports you with the E1 reporting boundary.

  • AI impact detection: ESG impacts by industry and company context
  • NACE code suggestions based on the company description
  • Recommendation of the consolidation method for the E1 reporting boundary
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AI Recommendations and Analyses

Terms on this page, briefly explained

Emission Factor ESRS E5 Circular Economy

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