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A founder came to us last spring with a pitch deck that looked ready for a Series A. The slides were clean, the market size slide had a big number on it, and the traction chart went up and to the right. When we asked for the underlying model, he sent over a spreadsheet with one tab. It had last month’s actuals and a growth rate typed into a formula. No cash view, no headcount plan, nothing that showed what happened if a big customer churned in month four. He wasn’t being careless. He’d just never been shown what a real model looks like, because most founders haven’t.

Early conversations about AI in finance centered almost entirely on automation and substitution. The vision that captured the most attention was “lights-out finance,” a close process running end to end with minimal human involvement, reconciliations clearing themselves, reports generating on schedule without anyone in the loop. It was a compelling picture, and for a while it shaped how a lot of finance leaders thought about AI investment.

Rooled has been acquired by Multiplier Holdings. Johnnie Walker, Jason Granado, and David Johnson remain directors of the firm, and every controller and CFO stays on the accounts they already run. We will now be identified as Rooled, a Multiplier company. “Clients hired us for the relationship,” said Johnnie Walker, director of Rooled. “Multiplier lets us build tools around how we already work, instead of asking clients to change how they work with us.”

Founders calibrate almost everything else to their stage: hiring, product scope, go-to-market spend. Finance infrastructure often doesn’t get the same treatment. Companies either ignore it entirely until a fundraise forces the issue, or they build a finance function sized for a company three stages ahead of where they actually are. Both mistakes are expensive, just in different ways.

Many SaaS companies set their pricing once, early, under pressure, and then never touch it again until growth stalls and someone finally asks why. The pricing page that made sense at $2M ARR often has no logical connection to the value the product delivers at $20M ARR. Nobody revisited it because nothing forced them to.

A data room is the first place a lead investor’s diligence team actually works inside your company. Before that, everything has been a deck, a call, a pitch. The data room is where the story meets the underlying documents, and it’s where a diligence associate forms their first real opinion about whether the team running this company is operationally serious.