Hajimeba Inc. (Headquarters: Shinagawa-ku, Tokyo; CEO: Tomoki Tanaka; hereinafter "the Company"), which supports M&A operations for buyer companies, has launched the "Q&A Auto-Generation Feature" on its M&A × AI agent platform "Hajimeba M&A Sourcing AI" designed for corporate acquirers. This new feature leverages AI to analyze Information Memorandums (IMs) and related documents received per deal, automatically generating inquiry items (Q&As) directed to target companies based on key aspects important to buyers, such as business operations and financials. Generated Q&As can be reviewed and edited directly on the deal detail screen and exported as CSV files for internal reviews or sharing with stakeholders. As a result, buyer companies can reduce the burden associated with document review, issue identification, and question list creation during the limited evaluation period prior to Letter of Intent (LOI) submission, enabling them to assess a greater number of deals consistently and efficiently. ■ Development Background M&A buyer companies must continuously evaluate deal information sent by M&A intermediaries, financial advisors (FAs), and professional firms, selecting opportunities aligned with their acquisition criteria. For promising deals, they must conduct additional due diligence and express interest—all within tight timeframes. In the initial evaluation phase following IM receipt, buyers are required to quickly analyze the target company’s business model, profitability, customer base, growth potential, and financials, then organize key inquiry points into structured Q&As. However, this process heavily depends on individual staff experience and expertise. The burden intensifies for companies evaluating multiple deals in parallel, making consistent and thorough issue identification increasingly challenging. In recent years, the number of M&A buyer companies has increased, leading to competitive bidding situations for single sell-side deals. For buyers, the speed