Why I Built This Every month our finance workflow looked the same: open newly signed contract PDF, find the billing terms, copy them into a spreadsheet, create an invoice. Multiply that by 30 clients with individually negotiated agreements and it's a few hours job that should take five minutes. Another problem was the error rate. When you're manually copying fee amounts, VAT numbers, and billing dates from PDFs into a spreadsheet, mistakes happen. Each one requires a correcti

Every finance leader I talk to is being pitched the same promise: AI will transform your close, your forecasting, your reporting, your team's capacity. But at startups, we're not just buying these tools anymore — we're building them ourselves. A few API keys, a weekend with Claude or ChatGPT, and suddenly the Head of Finance is shipping their own categorization scripts, reconciliation agents, and reporting copilots. And then, six months later, the same teams are quietly back

Finance professionals are building their own tools with AI for the first time. The prototypes are exciting. Then they break. Here's what I learned hitting that wall — and the concrete steps others used to avoid it. A few weeks ago I came back from a four-month career break. The thing that struck me most was AI. Specifically, how much had become possible for people like me — finance professionals who think in systems and logic but have never written production code — to actual