When it comes to generative language models and AI, most of the talk centers around tools like ChatGPT. Many of these tools already have found their way into deal sourcing, which means deal teams have to come to grips with where it can work well and how much human oversight is needed to govern it. AI tools can help teams identify strong deal targets faster and stay on top of trends, providing them with the all-important first mover advantage when it comes to deals. Read on to discover the top ways teams using AI deal sourcing to streamline the M&A process are making the most of it in the most responsible manner.
Using AI in the Deal Sourcing Process
Teams can miss out on important developments happening in real time. Even if they are well-intentioned and diligent, there is simply too much information flying around to keep up with — that's where AI can play an important role.
There is one important caveat to note first: Before teams can use artificial intelligence in dealmaking, they must train the AI to identify the right kind of information. The first step is defining the goal or what kind of deal is under consideration. When the AI is trained on the criteria that match the goal, it can then pick the right opportunities out of a list of data. This pulls from a wide range of sources, including SEC filings, databases and social media. Without the initial training, AI results can be hit or miss. Poor inputs mean weak or misleading outputs.
Keeping this in mind, an AI tool can assist with various deal making stages, helping the team move quickly and stay on track with acquisitions.
Determine Targets
It's much easier and faster for an AI tool to go through diverse data sources, such as industry reports, financial reports, databases and spreadsheets, and even news stories or social media posts, than it is for a team to perform this research manually. The AI can cull the relevant resources, using criteria that were selected by the team such as ROI potential, growth rate or sector fit. It also can provide a dynamic ranking of targets based on one or more of these metrics. Compared to manual screening processes, the use of AI means a smoother, streamlined experience that reduces the manual review burden when properly governed.
Screening
After preliminary acquisition targets are identified, the AI can screen applicants to focus on the best fit with the criteria. For example, the AI can rank preliminary targets based on their growth potential or their financial value, allowing the team to focus on the highest-value targets first.
Predictive Analytics
With so many potential targets for M&A deals, how can a team decide which one to go after first?
Predictive analytics help unpack this question by using historical data to anticipate future outcomes in key performance areas, such as revenue or return on investment. Applying predictive analytics to the investment opportunity is a form of scenario forecasting. This can help the team “play through” the potential challenges and rewards of going after one target versus another, accelerating decision-making.
AI can take publicly available pieces of information from reports, such as a business's number of employees, and use this to formulate predictive metrics that are not publicly available, such as revenue projections. Since the result is based in predictive technologies, there is a greater level of accuracy and trust over other forecasting methods. As these processes become more transparent and easier to interpret, their adoption should continue to rise throughout the business world.
Outreach
Natural language processing capabilities allow the AI to review corporate voice, tone and other elements and generate emails that match the level of professionalism and personalization you want to present. This brings the potential for significant time savings for busy teams while boosting engagement among potential investment targets.
Monitoring
When a target is identified and both parties move toward a deal, AI deal sourcing platforms can play a role in the monitoring stage.
While the deal moves forward, there are always going to be changes to keep aware of. Similar to the way that a Google Alert can return new search results for a specified term, the AI can monitor the target for changes to the product lineup, management structure, regulatory shifts or other relevant news that could impact the deal. Having this real-time context can be pivotal in enabling better decision-making.
AI & ChatGPT During the Deal
Now that you understand the early stage dealmaking AI and ChatGPT uses, how about during the deal? The following are areas where these tools provide valuable support throughout the deal.
Due Diligence
Due diligence is essential to the success of any deal. In this stage, each party verifies that the other was truthful with the information provided. Traditionally, deal due diligence was an all-hands-on-deck time when documents, financial statements and legal agreements were reviewed by experts.
Thanks to AI in private equity deal sourcing, many due diligence tasks can now be automated. Imagine how much faster a deal would proceed if financial statements and contracts were vetted by an AI, with any errors flagged for follow-up by a team member.
Deal Negotiation
In negotiation, each side wants to obtain the most favorable outcome possible. AI can bring predictive analytics to bear on the negotiation process by suggesting scenarios and alternatives. Parties may be able to strike a deal with more favorable terms than they would otherwise have been able to secure. By providing data-backed options, these models can cut down on the amount of bias that factors into the decision-making process. It is important to note, however, that overreliance on AI without human oversight can be dangerous.
Virtual Assistants
Virtual assistants, driven by tools such as ChatGPT, can support the team in investor communication throughout the deal. For example, these tools can provide basic answers to investor questions, in much the same way that chatbot technologies support customers. These AI platforms also have the potential to improve collaboration across departments including legal, finance and investor relations throughout the dealmaking process.
AI Governance and Data Security in Deal Sourcing
With AI firmly out of the experimental phase when it comes to its use in deal sourcing, it’s critical for firms using it to concentrate their efforts on governance. According to a 2025 survey about the use of generative AI in M&A deals, adopters reported that data security and data quality remained significant concerns for them.
Using generative AI platforms such as ChatGPT or Claude in deal sourcing can result in significant risks including:
- Confidential data exposure
- Unreliable outputs
- Hallucinated information
- Biased target scoring
- Weak auditability
- Misuse of third-party AI tools
- Unclear ownership of analysis generated by AI
This is why it’s important for PE firms to follow some best practices with regard to implementing AI in their deal sourcing activities. These include:
- Creating an approved AI use policy
- Restricting sensitive information from unapproved tools
- Documenting model assumptions and outputs
- Requiring human review of AI-generated findings
- Using permissioned platforms for confidential documents
- Maintaining audit trails
- Involving legal, compliance, and IT security teams
AI governance should always be proportionate to the risk in the workflow. For example, a public market scan comes with lower inherent risk than uploading confidential diligence materials.
Empower Smarter M&As With AI Solutions
It's still the early days of AI-powered deal sourcing. Firms that switch to generative AI and language models within their dealmaking process now will be in the early wave of adopters. Given the rapid evolution of AI tools like ChatGPT, their widespread adoption within the M&A process seems certain.
Tools like DFIN’s ActiveDisclosure due diligence and reporting software include powerful AI tools that streamline the deal. Our experience in private equity, IPO prep and compliance automation mean our solutions are tailored to deliver the maximum ROI for companies that use them. We also provide 24/7 support to ensure our customers get the most out of their software. To learn more, reach out and speak with a member of our team today.
