• Raju Vemula

Artificial Intelligence (AI) is changing the fields of accounting and finance by mechanizing processes, increasing accuracy, and encouraging appropriate decision-making. In accounting, AI technologies like Machine learning (ML), Natural Language Processing (NLP), and Robotic Process Automation (RPA) are used to modernize tasks such as Recording Accounts, prime entry of Book-keeping, Invoice processing, Audit rules and procedures, and fraud detection. These techniques are minimizing manual errors, enhance efficiency and effectiveness, and enables auditors to concentrate extra on examination and consultative capacity. In finance, AI plays an important role in risk estimation, credit scoring, programmatic trading, investment management, and concurrent fraud mitigation. AI systems can analyze vast volumes of financial data to identify arrangement and trends that inform investment tactics and financial estimations. The combination of AI also improves governing obedience and reporting by ensuring transactions stick to guidelines and by automatically flagging suspicious activities. Despite its advantages, AI in accounting and finance also poses difficulties, such as data protection concerns, the need for professional development, and ethical problems in decision-making. Overall, AI is transforming accounting and finance, making them more forward thinking, data-driven, and tactical.

Artificial Intelligent, fields, Accounting and finance, mechanizing, robotic transforming.

"Artificial Intelligence in Accounting and Finance: A Transformative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.231-236, November-2025, Available :http://www.jetir.org/papers/JETIRHD06041.pdf

"Artificial Intelligence in Accounting and Finance: A Transformative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. pp231-236, November-2025, Available at : http://www.jetir.org/papers/JETIRHD06041.pdf