AI in accounting: practical applications and risks for UK businesses

AI in accounting is already being used for transaction coding, document review, anomaly detection, forecasting, drafting and workflow support. ICAEW notes that AI can assist accountants in business and practice with productivity and efficiency. ICAEW AI resources.

Where AI can help

• Invoice capture and expense classification.
• Management reporting commentary.
• Bank reconciliation triage.
• Audit data analysis and exception reporting.
• Drafting accounting policy summaries for review.

Risks finance teams should control

The main risks are not only technical. They include inaccurate outputs, poor data quality, confidentiality breaches, weak audit trails and over-reliance on tools that are not designed for regulated accounting judgements.

AI in audit

ICAEW’s audit regulation guidance warns that as AI use in audit grows, firms need clear policies, training and oversight to protect audit quality, confidentiality and regulatory compliance. ICAEW guidance on AI in audit work.

Practical governance checklist

• Approve which tools may be used.
• Restrict confidential client or employee data.
• Require human review before posting or filing.
• Keep evidence of key judgements.
• Test outputs against known transactions.