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A valuable, time-saving application for AI in M&A is summarizing long and complex email threads. This allows deal professionals to quickly get up to speed on nuanced back-and-forths between clients and teams without having to read every single message.

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Feed an AI tool all prior deal documents for a specific client to generate custom playbooks and internal benchmarks. The AI can chart how terms like survival periods or caps were handled across dozens of deals, providing powerful data for negotiations.

The diligence process will be partially automated, with an AI agent on the buyer's side generating follow-up questions that are then proactively answered by an agent on the seller's side. This will dramatically speed up information exchange and reduce manual work for deal teams.

Use AI as a high-stakes negotiation simulator. Feed it context about your deal and the other party, then have it embody their persona and negotiate with you. Crucially, after each round, prompt it to break character and provide expert feedback on your performance and what you gave away for free.

Go beyond simple AI-drafted replies. By training an AI on personal context and integrating it with project management tools (like Asana), an email client becomes a "second brain." It can triage, delegate, create tasks, and archive information to the correct context, dramatically reducing mental load.

While many sellers use AI for basic tasks like writing emails, its true power lies in enhancing the buyer's experience. The real competitive advantage comes from leveraging AI to create decision-ready recaps, stakeholder-specific FAQs, and personalized recommendations, thereby shortening the sales cycle by making it easier for the customer to buy.

Instead of relying on ad-hoc calls to finance or other reps, LLMs can act as a central nervous system for sales. By analyzing past quotes and data, AI can instantly recommend the optimal deal structure for a new quote—maximizing commission for the rep and aligning with business goals, putting revenue back in motion.

M&A leaders can feed diligence findings and past deal notes into an enterprise AI tool to quickly generate risk logs and identify key focus areas. This saves significant time that can be reinvested into crucial, high-touch stakeholder alignment and communication.

Many salespeople are intimidated by AI's complexity. A simple, effective starting point is using tools like ChatGPT to reduce the word count of complex follow-up emails without losing intent. This builds confidence and demonstrates immediate value.

The VC firm uses AI tools extensively. An email alias automatically summarizes incoming board memos and suggests questions. Partner Mamoon Hamid also uses AI to rate his meetings, creating a data "exhaust" of his interactions to identify signals and remember high-potential founders he might have forgotten.

AI tools can instantly parse, reformat, and summarize dense documents like congressional bills, which would otherwise require significant manual cleanup. This capability transforms workflows for analysts and researchers, reallocating time from tedious data preparation to high-value strategic analysis.