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Assistant for ESG reporting

Client CountrySlovakia

  • Client typeSME
  • IndustryInformation & Communication Technologies
  • Application areasSustainability & ESG
  • AI technologiesGenerative AI, Large Language Models (LLMs), Natural Language Processing (NLP)
  • Business impactsCustomer Experience & Market Growth, Customer Product & Service Innovation
  • Data typesDocuments / Semi-structured Data, Textual Data
  • Delivery modelsCustom Development
  • DeploymentsCloud
  • Key capabilitiesIntelligent Search & Knowledge Retrieval, Recommendation & Personalization
  • Project stagesInitial Production Deployment
  • Solution formsAPI / Micro-service Interface, Plugin / Extension for an existing system

Solution Description

Problem description

The client’s goal was to extend the existing ESG reporting tool with generative AI features to simplify working with underlying documents.

Solution

Design and development of several GenAI use cases for a company providing specialized ESG software for corporations. Utilization of AWS architecture to implement suggestion mechanisms, automate processing of source documents and text generation for reports, identify differences across document versions, and prefill questionnaire fields. Shortening the process of completing regulator-required parameters by up to several hours.

Main Users of the Solution

ESG specialists

Project timeframe (months)

3

Additional services

  • Identification and prioritization of suitable use-cases

Implementation

Project Owner on the Client's Side

Executive management (C-level)

Participation on the Client's Side

  • Business / Product Owner
  • Software & Data Engineering / IT Ops

Form of Supplier Involvement

Complete realization

Impact and Results

Qualitative Benefits

Shortening the process of completing regulator-required parameters by up to several hours.

Lessons Learned and Recommendations

Key Success Factors

Expert capabilities of the vendor team in cloud AI engineering.

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