Artificial Intelligence in Finance: Transforming Accounting for Strategic Agility
DOI:
https://doi.org/10.56472/ICCSAIML25-133Keywords:
Accounting, Artificial Intelligence, Financial Reporting, Auditing, Tax Compliance, Decision-MakingAbstract
Traditional accounting systems, which are heavily reliant on manual processing and retrospective analysis, are unable to handle the growing complexity, volume, and speed of financial data. Organizations face delayed reporting, compliance risks, and reduced strategic agility as a result. This paper examines the role of artificial intelligence (AI) in transforming five key accounting domains: financial accounting, management accounting, auditing, tax compliance, and pricing optimization. AI’s capabilities in automation, predictive analytics, risk detection, and real-time decision-making are explored through case studies and industry analysis. Findings show that AI reduces manual errors by 60%, accelerates financial closes by 30%, improves audit anomaly detection by over 40%, and enhances forecasting accuracy by up to 25%. AI also shortens tax compliance processing and enables dynamic pricing strategies that boost competitiveness. The results highlight AI’s potential to shift finance professionals from transactional roles to strategic leadership positions, reshaping the accounting field to drive innovation, governance, and sustainable business growth
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