In a Bank Merger, the Spreadsheets Survive Diligence. The People Don't.

Texas has multiple bank integrations running right now. I am watching them from the search desk, and I can tell you what happens next, because it happens every time.

The financial models survive diligence. The people often do not. The strongest performer inside the target is the first one my phone reaches the day the deal hits the wire, not after close. Most acquirers discover their flight risk after the fact, when the controller who held the close process together has already resigned. By then the retention decision is not a decision. It is damage control, and it costs multiples of what it would have cost to see it coming.

Here is the part most integration plans miss. The finance function does not run on one clock. It runs on two. The first clock is fast. Financial reporting and accounting seats have to be staffed now, because two balance sheets are becoming one and you cannot close the books late. The second clock is slow. Audit, credit, and risk leadership have to be right, not fast, because a wrong hire in those seats compounds quietly for years. Most acquirers run both searches at the same speed. They get the first one late and the second one wrong.

Underneath both clocks sits the thing nobody benchmarked. Flight risk. The best people on the target's team have options the moment the deal is announced. Some are already in conversations. You are making keep-or-replace calls blind, on the seats that matter most, at the exact moment the market is most aggressively calling your people.

You already pay to avoid this on the financial side. A quality of earnings report tells you what you are buying. Nobody hands you the people equivalent. So the most expensive risk in the deal, the one that walks out the door on its own two feet, is the one you carry into close with no map.

It does not have to be that way. The same read I run on candidates every day is the read that matters here. Seat by seat, before close: who is a genuine flight risk, what the market actually pays them, who to keep, who to redeploy, who to replace, and what to staff in the first ninety days versus what to staff deliberately. Not survey data. Live search data, because I am running these searches in this market right now.