Due diligence is a critical component in any deal, providing a thorough understanding of the target. Knowing exactly what is being acquired, and what is not, is essential for a successful transaction. AI-driven technologies like machine learning (ML), natural language processing (NLP) and predictive analytics are transforming the due diligence process, offering numerous advantages, such as increased efficiency, accuracy and cost reduction. However, the adoption of AI also brings challenges, including data inaccuracies, privacy risks and high implementation costs.  

This article explores key due diligence dos and don’ts and AI’s role in M&A due diligence, its benefits and solutions to these challenges.