By clearing bottlenecks in the deal process, dealmakers will have the space and insight to focus on the work that gets a deal over the line.
But although the technology offers a great opportunity to transform a broad range of industries by enabling businesses of all sizes to leverage its capabilities and remain competitive, using it isn't without risks, including privacy, intellectual property rights, security and data quality.
Enhancing the due diligence process with GAI is a key example. Deals are high stakes and tight timeline environments, so quality control is key. An incomplete or incomprehensive document review exposes the deal to hidden risks. Using GAI to interrogate a document for keywords or phrases, potential risk factors, critical clauses and essential obligations can help pinpoint them fast.
GAI-based analysis can also be used in support of deal research, as relevant, fresh and actionable data can make or break a deal. That notion begins at inception, meaning identifying and engaging with potential buyers, mapping niche markets, keeping up with changing market conditions, understanding buyer history and even polishing pitch decks. GAI can enhance the speed and accuracy of the analysis needed to begin building a deal team.
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