Accelerating client strategy success with AI-powered insights
EY-Parthenon built an AI-powered platform on Databricks using fine-tuned models, AI Search/RAG and an agent framework to automate KPI extraction from hundreds of thousands of unstructured M&A documents, cutting insight-extraction time from weeks to hours and delivering 30-50% efficiency gains.
Overview
EY-Parthenon built an AI-powered platform on Databricks using fine-tuned models, AI Search/RAG and an agent framework to automate KPI extraction from hundreds of thousands of unstructured M&A documents, cutting insight-extraction time from weeks to hours and delivering 30-50% efficiency gains.
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Inspect the highlighted sourceThe challenge
EY-Parthenon advises on thousands of high-stakes engagements annually, generating massive volumes of structured and unstructured client data. Before the Databricks Data + AI Platform, insights were trapped in PDFs and spreadsheets, requiring weeks to extract.
The solution
EY-Parthenon built an AI-powered platform on Databricks that automates document processing and KPI extraction at scale: Unity Catalog governs access and compliance across the global data estate, large language models sanitize documents of sensitive information, and a combination of fine-tuned models, AI Search (for retrieval-augmented generation) and an agent framework extracts KPIs from hundreds of thousands of unstructured documents, stored in Delta tables and made queryable through Genie spaces.
Reported business value
EY-Parthenon cut the time needed to collect, sanitize and analyze engagement data from weeks to hours, and achieved 30%-50% efficiency gains that accelerate client decision-making and unlock new opportunities.
Sources
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