Technology meets sustainability
AI Form to help companies fill out hours of information in a few minutes.
INNOVATING WITH AI
OeKB was standing in a very complex and difficult to fill out form. The ESG questions were challenging, important information was distributed in the text, tables and graphs. There was also inconsistent sources, reports would have very different structures, languages and qualities. Traceability was another problem as proposals must be verifiable (sources, pages, excerpts) in order to inspire confidence, and the last factor that made this project a must was the research had to be done manually, with lots of copy-paste, this from the companies interested on filling out this form, this was a very time consuming.
WE INTEGRATED AI TO HELP COMPANIES FILL OUT THE FORM IN THE MOST EFFICIENT WAY POSSIBLE. COMBINING SEVERAL SPECIALIZED MODELS, WITH A FOCUS ON QUALITY, TRANSPARENCY, AND MAINTAINABILITY.
THE RESULTS
The document processing, Breakdown of reports into text, tables, and graphic elements (including page references and metadata) to make each type of information optimally usable. We also added a RAG-Component, Intelligent context search that finds the most relevant text passages, table cells, or chart excerpts for each ESG question. Furthermore, we have also added a large language model formulates concrete, verifiable answer suggestions based on the context found, and lastly, we have also added VLM for visual components, which the vision language model interprets tables and graphics (e.g., emission bars, key figure tables) and provides structured values for the answer.
INNOVATING WITH AI
OeKB was standing in a very complex and difficult to fill out form. The ESG questions were challenging, important information was distributed in the text, tables and graphs. There was also inconsistent sources, reports would have very different structures, languages and qualities. Traceability was another problem as proposals must be verifiable (sources, pages, excerpts) in order to inspire confidence, and the last factor that made this project a must was the research had to be done manually, with lots of copy-paste, this from the companies interested on filling out this form, this was a very time consuming.
INNOVATING WITH AI
OeKB was standing in a very complex and difficult to fill out form. The ESG questions were challenging, important information was distributed in the text, tables and graphs. There was also inconsistent sources, reports would have very different structures, languages and qualities. Traceability was another problem as proposals must be verifiable (sources, pages, excerpts) in order to inspire confidence, and the last factor that made this project a must was the research had to be done manually, with lots of copy-paste, this from the companies interested on filling out this form, this was a very time consuming.
INNOVATING WITH AI
OeKB was standing in a very complex and difficult to fill out form. The ESG questions were challenging, important information was distributed in the text, tables and graphs. There was also inconsistent sources, reports would have very different structures, languages and qualities. Traceability was another problem as proposals must be verifiable (sources, pages, excerpts) in order to inspire confidence, and the last factor that made this project a must was the research had to be done manually, with lots of copy-paste, this from the companies interested on filling out this form, this was a very time consuming.
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