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Runway math tends to feel fixed until you actually sit down and pull it apart. A company with eleven months of cash left often assumes the only real lever is the size of the next raise. In practice, most startups have four or five smaller levers sitting in the model that nobody has touched, and pulling even two of them can turn eleven months into sixteen without changing a single thing about the fundraising environment.

Take every customer who signed up in March. Line them up in a row. Now check what percentage of them are still paying in April, in May, in June, and keep going for as long as you have data. That’s the mechanic of a cohort retention table. Many founders have heard the term in a pitch or a board deck and nodded along without ever building one, because the concept sounds more complicated than the spreadsheet actually is.

A support ticket that takes a rep ten seconds to close might involve a dozen calls to a language model on the back end before it ever reaches a human. Each of those calls has its own cost, priced per token, and that cost doesn’t show up as a line item until the invoice from the model provider arrives weeks later. For a SaaS company used to hosting costs that move in a predictable line with customer count, this is a different kind of expense entirely, and most finance models still aren’t built to track it.

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.”