Case Study: EY achieves faster, more accurate generative AI insights for finance and compliance with Elastic

EY applies search with Elastic to pioneering generative AI experience for finance

Ernst & Young (EY) needed to help banks and financial institutions unlock trusted insights from vast amounts of unstructured documents—PDFs, tables and reports—while meeting evolving regulatory and ESG requirements and maintaining accuracy, speed and scale for generative AI use cases.

EY built a generative AI solution centered on Elastic’s search stack (ESRE) for Retrieval Augmented Generation, using vector embeddings, enhanced indexing/chunking and integrations with LamaIndex/LangChain. The deployment delivered roughly 10–15% gains in extraction accuracy, produced RAG results about 3× faster than native approaches, scaled across diverse document types and organizational units, accelerated time-to-value, and supported responsible, secure AI deployments.

EY

Vishaal Venkatesh

GenAI Manager