The finance team you never have to build
Enterprises pay a fortune to retrofit AI onto twenty years of legacy finance. A growth-stage company can just start there — and never build the team it would otherwise spend five years hiring.
I’ve spent a decade in finance and data — owning unit economics at an eCommerce company, and now building AI-native finance systems at enterprise scale.
Here’s the part nobody says out loud: the big company is the hardest possible place to do this.
Not because the technology is hard. Because everything around it is. Twenty years of processes that assume a human does them. Systems wired to other systems nobody wants to touch. And people whose job, whose identity, is the manual process you’re trying to automate. Every improvement is a renegotiation.
Now picture the opposite end of the market.
A Series A company has none of that. No legacy close process. No entrenched tooling. No org chart defending the old way. It could build its finance function AI-native from the first month — and simply never staff the manual version it would otherwise spend the next five years hiring into.
The finance team you never have to build is the cheapest one you’ll ever own.
The companies that win the next decade won’t have big finance orgs that got “AI-enabled.” They’ll have small ones that were wired into systems from the start — the reconciling, the modeling, the reporting running underneath a couple of sharp humans.
The enterprises are paying a fortune to retrofit their way toward something a 20-person company could just… start with.
If you’re building your finance function from scratch right now — are you hiring the headcount, or building the system?