Building a deal-sourcing pipeline often requires several separate tools and a lot of manual work. Searchers have to find companies, determine whether they actually fit the acquisition thesis, research ownership, locate the right contacts, build relationships with M&A advisors, conduct outreach, and manage follow-ups. In this live session, I’ll demonstrate how ASE is being built to bring those workflows together in one platform. We’ll cover how searchers can use AI to: Turn an acquisition thesis into targeted sourcing criteria Discover and rank potential acquisition targets Review company, ownership, size, and business-model signals Remove duplicates, directories, and weak matches Find owner and decision-maker contact information Identify and build relationships with relevant M&A advisors Manage outreach through email, phone calls, and handwritten letters Organize targets, contacts, conversations, and follow-ups in one place I’ll also discuss where AI is genuinely useful, where company information may still be uncertain, and where human judgment and further diligence remain necessary. This will be a practical live demonstration using a real acquisition thesis, followed by time for questions and discussion.