i specialize in invoice related analytics and business processes. AI can be useful for data extraction and saves me some typing time. even so, i dont blindl trust it because it sometimes makes very reasonable mistakes because invoices, quotes, and POs are sometimes structured in very informal ways. people misuse the lines, sublines, totals, and other data fields. they are often technically incorrect but when you look at them you know what they mean. i am not sure how to hand that off to something that has plausible deniability to guess even if it doesnt know

sometimes details are just in notes at the bottom and are applied to selectively applied to line items. sometimes the charge doesnt exist anywhere on the bill but there is an understanding (due to a separate agreement) of additional charges to be paid as a result of the invoice.

taxes sometimes are or are not explicitly stated

tariffs sometimes are or are not explicitly stated

when things are not explicitly stated or line item'd, they will usually still appear in the invoice total. so you have item 1 - $500, item 2 $500. total: $1300

At the end of the day invoices are often part of an ongoing communication / conversation between two organizations and they are created with an assumption that a rational and reasonable human who is in the loop with that conversation is going to read it.