Founders now hand AI the boring parts of finance: reading supplier invoices from email, categorizing bank transactions, drafting collection emails for unpaid invoices, and reconciling accounts against QuickBooks, Xero or Zoho Books. They also paste in a bank statement or P&L export and ask the AI plain questions like "what's my monthly burn and how many months of runway do I have if revenue stays flat?" The rule that works: give the AI real source data and a narrow job, then review its output, it's a very fast junior bookkeeper, not a replacement for accurate books or a good accountant.
4 resources.
A real founder documents delegating ~80% of his admin, invoice entry, daily bank reconciliation, order invoicing, to Claude, including what broke and what didn't.
Dan Norris (7-time founder, East Coast Roast) Feb 2026
Open dannorris.me →A practicing CPA gives six copy-able workflows (categorization checks, reconciliation research, AR collection emails) and is honest about exactly where Claude fails.
Bobby Huang, CPA (SDO CPA / Growthy) May 2026
Open growthy.com →Free official prompt library covering cash-flow modeling, revenue forecasting and financial reporting, a fast way to start asking burn/runway questions of your own data.
OpenAI Academy 2025
Open academy.openai.com →The guardrails piece: what AI genuinely handles well (data entry, categorization, reconciliation) and why messy books in means garbage analysis out.
Forbes Advisor (with CPA sources) May 2026
Open forbes.com →The same ground, over in Money, pricing & model, our Starting Up track.
