Company 

EY is one of the world's largest professional services firms, with hundreds of thousands of consultants generating insights across assurance, tax, consulting, and advisory services. As a result, decades of accumulated expertise sat dormant in slide decks and workpapers, inaccessible when needed most.

The Challenge 

EY consultants spent an average of 15 minutes searching for relevant precedents—and often came up empty, recreating analyses that already existed elsewhere in the firm. The root causes were familiar: unstructured content scattered across SharePoint, inconsistent metadata, and no reliable way to surface insights from past projects. Early attempts with LLMs introduced new risks, particularly around hallucinations when handling sensitive client information. With research showing 47% of professionals waste 1-5 hours daily searching for information (Source: Pyron), EY risked continued productivity losses and missed opportunities to leverage its  institutional knowledge for competitive advantage.

The Solution 

Maheep Bhalla, a Principal Product Strategist and member of A.Team's network, brought expertise in enterprise GenAI implementations and building trust in AI systems. His experience navigating compliance requirements in professional services proved invaluable.

Bhalla designed a phased approach starting with high-value use cases and canonical document types rather than attempting to index all content at once. He implemented RAG with embedding search across a multi-tiered vector index, working closely with compliance teams on security and SMEs on prompt patterns. The rollout progressed from internal alpha to a 35-user pilot, with careful tracking of satisfaction metrics and hallucination risks. This methodical approach built organizational trust alongside technical capabilities, ensuring the system would actually be adopted.