Sold by: Sia Partners
In banking sector, AI advances can be put at the service of workload optimization. With highly accurate models we can extract text and graphs from documents to create an ordered database with auditable information easily accessible for internal use. Through LLM capabilities we can fasten the drafting of reporting to lighten the human resources allocated on tasks that can be automized especially in compliance sector. In addition to cost reduction, it allows employee to focus their time on more added value tasks.
Sold by: Sia Partners
Overview
Thanks to specific prompt-engineering and the development of additional features implemented all along the model’s chain of thought, we can build a custom method dedicated to ESG analysis.
Use cases:
- Aid in drafting future CSRD reports with the ability to adapt to new internal documents & new regulations
- Build an internal Q&A interface capable of quickly informing employees about ESG elements collected as part of the project
- Centralize an ESG library allowing comparison and identification of potential inconsistencies, contradictions or incompleteness between the different internal BUs documents
Our Success Stories:
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Custom GenAI model for CSRD report We offer a writing assistance platform capable of listing, extracting and synthesizing the information contained in a large corpus of previously identified internal documents. Thanks to this tool, it will now be possible to optimize the operational costs related to the preparation of the report. Model performance had been improved through several iteration of back and forth reviewing with the business teams. Leading to the creation of a satisfying model capable of generating relevant answer usable for the report's redaction.
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ESG reporting automation with SiaGPT In an ESG mission for a major banking player, our team deployed SiaGPT to analyze and enhance sustainability practices. Through automated gap analysis (GRI, SASB) and peer benchmarking, we identified areas requiring stronger compliance with current regulations. The tool also streamlined the production of reports aligned with the EU’s sustainable taxonomy standards, providing key performance indicators to reinforce the bank’s ESG strategy.
We are working on various AWS infrastructures (Bedrock, Q, SageMaker...) and our products rely on AWS services when creating and deploying a platform or a software for a customer.
Highlights
- Custom ESG Analysis through Prompt Engineering: Our tailored approach uses prompt engineering and model enhancements to deliver precise ESG insights, aiding companies in aligning with evolving regulations like CSRD and optimizing report preparation.
- Efficient ESG Information Access and Consistency: We create internal Q&A interfaces and centralized ESG libraries, providing employees quick access to ESG information and enabling the identification of inconsistencies across business unit documents.
- Automated, Regulatory-Compliant ESG Reporting: Leveraging tools like SiaGPT, we automate ESG reporting, conduct gap analyses, and benchmark performance against standards like GRI and SASB, supporting clients in strengthening their sustainability strategies and compliance.
Details
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