Artificial Intelligence in Finance: Transforming Accounting for Strategic Agility

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

Authors

Institutions

Publication Details

Published
2025-05-18
DOI
https://doi.org/10.56472/iccsaiml25-133
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Finance: Transforming Accounting for Strategic Agility

Venkata Khajit Varma Vadapalli
Big Data and Business Intelligence
article

Artificial Intelligence in Finance: Transforming Accounting for Strategic Agility

Venkata Khajit Varma Vadapalli
article en

Abstract

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

Institute for Financial Research (SE)
Decent work and economic growth
Openalex Percentile: Top 77%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence in Finance: Transforming Accounting for Strategic Agility — Venkata Khajit Varma Vadapalli · (2025) | TGRS Research Map | TGRS