Abstract
Accounting is one of the critical aspects of managing a business. Accuracy in managing finances, reporting transactions, and making good financial planning can affect the success or failure of a business. With the latest technological advancements, artificial intelligence (AI) is now playing an increasingly important role in improving accounting productivity and performance. This article explores how AI can improve performance and efficiency in the accounting field and provide advantages to business. 1. Automate Routine Accounting Tasks One of the main ways AI is improving productivity in accounting is through the automation of routine tasks. Tasks such as bookkeeping, invoice generation, account reconciliation, and receipt management can now be handled by AI software. AI-based accounting systems can automatically process transactions, classify those transactions by category, and generate financial reports without the need for extensive manual input. Examples: Invoice Generation - AI can detect and create invoices based on transaction data available in the system; reducing human error and increasing efficiency. Bank Reconciliation - AI can automatically review bank transactions and ensure that financial records match bank records; saving time and effort in the reconciliation process.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Abdul Rahman, Samsuria samsuria@uitm.edu.my Wan Mustafa, Wan Muzlaina UNSPECIFIED Mat Jusoh, Yusri Huzaimi UNSPECIFIED |
Subjects: | H Social Sciences > HF Commerce > Accounting. Bookkeeping > Data processing. Including accounting machines, automated accounting systems, and accounting software Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms |
Divisions: | Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Accountancy |
Journal or Publication Title: | Accounting Inkwell Quarterly |
ISSN: | 3030-5098 |
Volume: | 2 |
Number: | 1 |
Page Range: | pp. 5-6 |
Related URLs: | |
Keywords: | Accounting, Artificial intelligence, Business |
Date: | 30 June 2025 |
URI: | https://ir.uitm.edu.my/id/eprint/124420 |