Map
Framework

Finance tasks suited to AI automation

The question it answers

When a financial controller or CFO wants less manual data entry and matching, which bookkeeping and forecasting tasks can AI tools already handle?

Origin
ACCA, 2019; ACCA, 2023
Diagram type
Hub diagram
Level of analysis
Firm
Topics
Corporate finance
Stack of clay coins beside a rising glass bar chart, icon for finance

Diagram

Finance tasks suited to AI automation

AI in finance and accounting
Invoice processing and OCR
Invoice coding suggestions
Receipt scanning and expense classification
Bank reconciliation
Cash-flow forecasting
Financial planning and forecasting

When to use it, and when not to

Use it when

ACCA says rule-based AI suits repetitive, predictable tasks with expected outcomes, such as data entry and invoice processing. Machine learning is used where the work rests on patterns in data, such as invoice coding or forecasting.

Pitfalls

Pitfall

ACCA notes that AI systems are probabilistic and not always accurate, and that a model's accuracy may deteriorate over time. Finance professionals still need to oversee the critical processes.

Sources

References

Listed A–Z by author surname, Harvard style. A source with a DOI links to https://doi.org/…; one without links to its page or says plainly that it has no DOI.

  1. ACCA (2019) Machine learning: more science than fiction. London: Association of Chartered Certified Accountants (ACCA policy and insights report, April 2019).No DOIaccaglobal.comSource page
  2. ACCA (2023) AI (artificial intelligence) in the finance profession. London: Association of Chartered Certified Accountants (ACCA policy and insights report, August 2023).No DOIaccaglobal.comSource page