Automation & AI in Accounting

5 questions found

Repetitive tasks — data entry, invoice capture, reconciliations, report distribution — are handled by RPA bots and built-in software features.
Bot logs in, downloads statements, imports them nightly
Real-world example Automating invoice entry lets AP staff focus on exceptions and vendors.
Optical character recognition reads supplier invoices, extracts fields (vendor, amount, tax), and creates a draft bill for review, cutting manual entry.
PDF invoice -> OCR extracts vendor & 1,200 total -> draft AP bill
Real-world example AP automation processes thousands of invoices with minimal keying.
Models learn normal patterns and flag unusual transactions — duplicate payments, out-of-policy spend, odd vendors — for investigation.
Flag: two payments, same amount, same vendor, same week
Real-world example Continuous monitoring catches duplicate or fraudulent payments early.
Risks include biased or wrong outputs, lack of explainability, and over-reliance; controls include human review, audit trails, validation against source, and clear accountability.
AI-suggested coding -> accountant reviews before posting
Real-world example AI drafts the entry, but a human remains accountable for the numbers.
Robotic Process Automation uses software 'bots' to mimic human steps in rule-based tasks like logging in, copying data, and posting, without changing the underlying systems.
Bot: open bank portal -> export CSV -> upload to ERP
Real-world example An RPA bot performs the nightly bank download a person used to do.