The thesis behind Outratio
Bookkeeping is being automated quickly. The harder and more valuable problem is the insight that should come after it.
The gap
Growth-stage companies sit in an awkward place. Their finances are too complex for a bookkeeper alone, but a full-time CFO is a cost they can’t yet carry. Most get by on accurate records and very little interpretation.
Pure AI bookkeeping makes the records cheaper, but it doesn’t close that gap. Founders still don’t know which client is a concentration risk, when cash gets tight, or what a pricing change does to margin.
The approach
Outratio automates the routine work, routes uncertain items to qualified finance professionals for verification, and builds CFO-level analysis, forecasting and a weekly brief on top. It works with the accounting software companies already use, so adoption doesn’t require a migration.
The bet is that trust is the bottleneck in AI finance. Human verification is what lets a founder act on the output.
Why me
I’ve worked on both sides of financial reporting: testing it as an auditor in the PwC network, and producing it as Finance Manager at a FINMA-regulated impact asset manager. I know what management, investors and regulators expect from a company’s numbers, and how far most growing businesses are from it.
Where Outratio is today
Outratio is pre-launch, with early access and demo bookings open. If you invest in finance infrastructure, vertical AI or SME software, I’d like to keep you updated as we grow.