Integration of AI Technology in Cost and Management Accounting for Effective Cost Control

The rapid advancements in Artificial Intelligence (AI) have introduced transformative opportunities across various industries, including cost and management accounting. This paper examines the integration of AI technology into cost and management accounting practices to achieve effective cost control. By implementing AI-driven tools such as predictive analytics, automated reporting, and real-time data processing, organisations can optimise resource allocation, minimise inefficiencies, control wastage, and enhance financial decision-making. The research highlights the application of AI in analysing cost behaviours, forecasting future trends, and automating routine accounting tasks, thereby reducing human error and improving accuracy. Key considerations such as system integration, data privacy, and skillset requirements for adoption are discussed. Additionally, case studies demonstrate how AI has been successfully implemented to provide actionable insights for cost optimisation. The study concludes by emphasising the potential of AI to redefine cost and management accounting as a strategic function, fostering sustainable financial practices in the evolving business landscape.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16737315
Primary Topic
Financial Reporting and XBRL
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration of AI Technology in Cost and Management Accounting for Effective Cost Control

Zenodo (CERN European Organization for Nuclear Research)
Financial Reporting and XBRL
article

Integration of AI Technology in Cost and Management Accounting for Effective Cost Control

article en

Abstract

The rapid advancements in Artificial Intelligence (AI) have introduced transformative opportunities across various industries, including cost and management accounting. This paper examines the integration of AI technology into cost and management accounting practices to achieve effective cost control. By implementing AI-driven tools such as predictive analytics, automated reporting, and real-time data processing, organisations can optimise resource allocation, minimise inefficiencies, control wastage, and enhance financial decision-making. The research highlights the application of AI in analysing cost behaviours, forecasting future trends, and automating routine accounting tasks, thereby reducing human error and improving accuracy. Key considerations such as system integration, data privacy, and skillset requirements for adoption are discussed. Additionally, case studies demonstrate how AI has been successfully implemented to provide actionable insights for cost optimisation. The study concludes by emphasising the potential of AI to redefine cost and management accounting as a strategic function, fostering sustainable financial practices in the evolving business landscape.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 39%
Financial Reporting and XBRL
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Integration of AI Technology in Cost and Management Accounting for Effective Cost Control · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS