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Every language model provider caps how much traffic an account can send: requests per minute, tokens per minute, sometimes concurrent connections. Early prototypes never reach those caps. Production systems reach them on their busiest day, which is the worst possible moment to discover how the system behaves. Designing around LLM rate limits from the start is far cheaper than retrofitting it during an incident. Know your actual limits Limits vary by provider, model and account tier, and they change as usage grows. Find the current figures for the models you use and record them where the team can see them.

Accounts payable teams spend a large share of their week on work that follows clear rules: reading invoices, typing the details into the finance system, checking them against purchase orders and chasing approvals. It is an obvious candidate for automation, and it involves money leaving the business, which raises the stakes. Invoice processing automation works well when it removes the typing and matching while keeping, and often strengthening, the controls that stop the wrong payment going out. Map the current process first Follow a sample of invoices from arrival to payment. Note where they come in, who touches them, which