Practical AI Use Cases for Pension Funds

This document is a guide that outlines practical applications of artificial intelligence (AI) for pension funds. It emphasizes the strategic importance of AI in managing growing data volumes and operational complexities. The guide presents three specific AI use cases being evaluated by pension funds: Transaction Cost Analysis (TCA), Intelligent Document Processing (IDP), and Consolidated Holdings Intelligence. Each use case is detailed with its objectives, AI-enabled capabilities, and potential benefits. TCA aims to enhance execution strategies and reduce costs through data analysis. IDP focuses on automating document processing to minimize errors and improve efficiency. Consolidated Holdings Intelligence integrates various data sources for better decision-making. The document also addresses challenges and considerations for implementing AI responsibly, including data management, security, and user adoption. It concludes by stressing the need for clear governance and strategic alignment to maximize AI's value for pension funds.