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How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock
- Gardenia Technologies partners with AWS to develop Report GenAI, automating ESG reporting with generative AI on Amazon Bedrock, reducing reporting time by up to 75%.
- ESG reporting has become a burden for many organizations, with excessive administrative work hindering strategic initiatives.
- Gardenia's Report GenAI automates data collection from various sources like databases, documents, and web searches, enhancing the ESG reporting process.
- The solution involves an agentic search approach, utilizing tools like Retrieval Augmented Generation (RAG) and text-to-SQL capabilities for efficient reporting.
- The process includes steps like setup, batch-fill, review, edit, and repeat, streamlining ESG data collection and response curation.
- The Report GenAI architecture employs components such as a UI, generative AI executor, web search tool, text-to-SQL tool, RAG tool, and embedding generation pipeline.
- Evaluation of agent performance combines human expertise with AI validation to ensure accuracy and reliability in ESG reporting.
- A case study with Omni Helicopters International showcases a 75% reduction in reporting time using Gardenia's Report GenAI solution.
- The dual-validation approach in Report GenAI offers a robust quality assurance framework involving human oversight and AI-powered quality assessment.
- Authors from Gardenia Technologies and AWS share insights on the development and implementation of Report GenAI for automated and impactful ESG reporting.
- The post highlights the collaboration between Gardenia and AWS to build and offer Report GenAI on the AWS Marketplace, enabling organizations to simplify ESG reporting.
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