The Exception Queue

The most valuable data in vertical AI gets captured every day with little fanfare. Someone overturns a denied prior authorization, corrects a freight dispute, or swaps an equipment order, and the reasoning evaporates the second they move on to the next case. As most work gets done, the judgment behind it is lost forever.

We believe that judgment will prove to be the real prize in Vertical AI, separating great products from great companies. Agents can already follow rules, pull the right data, and generate useful documents. What they can’t do is handle exceptions: the case that doesn’t fit the template, where a human has to intervene based on market, customer, and counterparty-specific context. Those calls don’t live in an ERP, CRM, WMS, etc. They pile up in the exception queue, and they vanish as fast as humans clear them. Longer term, enterprise value in Vertical AI accrues to whoever captures the reasoning behind that human judgment.

We’re already seeing this pattern in the early vertical AI breakouts. Tennr owns referrals. EvenUp owns demand packages. Abridge owns clinical documentation. On the surface, the products look different. Underneath, they all do some version of the same thing: they sit inside a repeated, high-consequence workflow that leaves behind a reusable decision trace with every resolution. This is the exception queue, and we believe it’s the most valuable asset for each Vertical AI startup to capture.