Abstract

Mergers and Acquisitions (M&A) transactions are complex, involving multiple stakeholders and time-consuming manual processes. In this paper, we introduce Accelerated M&A Processes (AMP), a protocol that leverages machine learning and data mining to automate key aspects of M&A, including legal, valuation, company  identification, financials, and due diligence. Additionally, this paper will go into several successful case studies of AI (artificial intelligence) being used in M&A transactions, especially due diligence, along with interviews featuring Simplilearn (backed by the Blackstone Group) CEO, Krishna Kumar (2023), Generational Equity Senior Vice President of M&A, Amy Wall (2023), and University of Central Florida Assistant Professor of Finance, Buvaneshwaran Venugopal (2023), all discussing the challenges and the future with traditional acquisition processes. This whitepaper also delves into AMP’s technical underpinnings, while also comparing the duration and outcomes of traditional M&A methods with AMP's efficient deal-making procedures.

Keywords: Mergers and acquisitions, Artificial Intelligence, Machine learning, Data
mining