AI Startups Are Scaling Faster Than Their Financial Operations
There is a strange moment in the life of an AI startup when the product feels more sophisticated than the company operating it.
The support queue is handled by an AI agent. Code reviews are partially automated. Marketing campaigns are generated, tested, and adjusted with workflows that did not exist two years ago. Customer data flows into dashboards in real time.
Then somebody needs to pay a contractor.
The founder opens a spreadsheet, copies an IBAN from Slack, checks three different accounts, converts a currency, and sends a screenshot to the recipient.
Welcome to the least discussed contradiction in the AI startup world: companies are building machine-speed products on top of painfully manual financial operations.
At the prototype stage, this looks harmless. At scale, it becomes technical debt with money attached.
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