TAG Financial Institutions Group, LLC, is a prominent player in the middle-market insurance sector, specializing in mergers, acquisitions, valuations, and capital-raising transactions. Known for its expertise in financial due diligence, TAG helps clients navigate complex financial landscapes by evaluating financial statements, general ledgers, and other transaction-related information. However, the firm faces a challenge in maintaining consistency and depth in its due diligence processes while keeping up with market demands.

The specific business challenge lies in the need to improve the efficiency and analytical depth of financial due diligence by integrating AI tools. While TAG has begun experimenting with AI to flag potential financial irregularities, there is a gap in turning these findings into a reliable and repeatable due diligence process. This challenge impacts the firm's ability to quickly and accurately assess risks, which is crucial for informed investment decisions.

The proposed project addresses this challenge by inviting MS Finance students to enhance TAG's due diligence workflow using AI-assisted analysis and modeling techniques. Students will explore current practices, identify anomalies, and develop a financial model that can be integrated into TAG’s operations. This initiative presents an opportunity for students to apply their academic knowledge to a real-world business problem, gaining practical experience in financial analysis and strategic planning.

The project is divided into key phases: assessing current practices, developing an AI-assisted analytical framework, validating findings, and creating a comprehensive toolkit. These phases ensure a structured approach, allowing students to progressively build their understanding and contribute meaningful improvements to TAG's processes.

This project is ideal for students as it aligns with career skills in consulting, finance, operations, and strategic planning. By engaging in this project, students will gain insights into the integration of AI in finance, enhance their analytical capabilities, and understand the importance of professional judgment in investment banking. The project’s relevance to real-world challenges makes it an exciting and valuable learning experience.