Automation aimed at the wrong desk
Most AI tools for private markets automate what analysts produce: spreadsheets, slides, memos. Those outputs matter, but they are the last step of a process whose value is decided much earlier — when a senior professional chooses which company to pursue, which owner to call, and when. Tools that only accelerate formatting leave that decision untouched.
The five questions a dealmaker actually asks
Which companies fit our thesis or our client’s mandate? Who controls each one, through which fund, and for how long? What has changed that makes a conversation timely? Who at our firm has the strongest path to the decision-maker? Which opportunities deserve attention this week, and what is the next action? A product built for the MD answers these first.
Lead with the briefing
The primary screen should be a prioritized opportunity briefing and a searchable company universe, where the reason for attention is clear before anyone opens a document. Fit, seller pressure, business risk, and evidence confidence should be shown separately. A priority score is a ranking aid, not a probability of sale or an estimate of the discount available.
Show the research, including the gaps
Research agents earn trust by reporting observable work: ownership check completed with the acquisition announcement attached; financial review needs attention because only acquisition-year EBITDA is available; entity match unresolved because the borrower may be a subsidiary. A brief that hides uncertainty is a brief a senior professional will stop reading.
Keep the analysts, change their job
Analysts still validate evidence and resolve gaps — in the same system, against the same record. What changes is the default experience: it centers on commercial judgment rather than document production. Slides and models are generated from the record when the decision calls for them, not as the point of the exercise.