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Self-Audit Accounting System Studies: Balance Sheet and Profit & Loss Analysis of Airbus SE Through the Lens of Advanced Financial Auditing Technology
Subject area: Science,Engineering and Technology · Area of research: Accounting, Financial Matrix, Braille Index, Audit
DOI: https://doi.org/10.64388/IREV9I2-1710304
Abstract
The evolution of financial reporting and auditing has reached a pivotal moment with the integration of artificial intelligence and automated systems. This study examines Airbus SE's 2024 financial statements through the innovative framework of the Self-Audit Accounting System (SAAS), which incorporates two revolutionary components: the Financial Matrix and the Braille Index. According to KPMG research, 73% of companies in Switzerland are piloting or already using AI in financial reporting, with this number expected to reach nearly 100% within the next three years. This analysis demonstrates how SAAS methodology can enhance financial transparency, detect anomalies, and strengthen corporate governance in large aerospace corporations.
Keywords
Self-Audit Accounting System (SAAS), Financial Matrix, Braille Index, AI-powered financial auditing, automated financial validation, anomaly detection, corporate governance, aerospace financial analysis, Airbus SE, real-time financial monitoring, artificial intelligence in accounting, continuous auditing, financial transparency, risk management, IFRS compliance, balance sheet analysis, profit and loss analysis, stakeholder confidence, financial reporting automation, predictive financial analytics
References
[1] Junarso, T. (2018). AI Based Financial System: The Way Financial Matrix and Braille Index Improve Financial Reporting. APIC.
[2] Junarso, T. (2006). Comprehensive Approach to Corporate Governance: A Philosophy for Corporations. iUniverse, Inc.
[3] Airbus SE. (2025). IFRS Company Financial Statements for the years ended 31 December 2024. Airbus SE Annual Report.
[4] KPMG. (2024). AI in financial reporting and audit: Navigating the new era. KPMG Global AI in Finance Report.
[5] Airbus SE. (2025). Airbus reports Full-Year (FY) 2024 results. Press Release, February 19, 2025.
[6] CompositesWorld. (2025). Airbus full year 2024 financial results highlight strong business. February 25, 2025.
[7] International Financial Reporting Standards (IFRS) Foundation. (2024). IFRS Standards 2024. IFRS Foundation Publications.
How to cite this paper
@article{1710304,
author = {Tri Junarso},
title = {Self-Audit Accounting System Studies: Balance Sheet and Profit & Loss Analysis of Airbus SE Through the Lens of Advanced Financial Auditing Technology},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {2},
pages = {1344-1348},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710304.pdf},
abstract = {The evolution of financial reporting and auditing has reached a pivotal moment with the integration of artificial intelligence and automated systems. This study examines Airbus SE's 2024 financial statements through the innovative framework of the Self-Audit Accounting System (SAAS), which incorporates two revolutionary components: the Financial Matrix and the Braille Index. According to KPMG research, 73% of companies in Switzerland are piloting or already using AI in financial reporting, with this number expected to reach nearly 100% within the next three years. This analysis demonstrates how SAAS methodology can enhance financial transparency, detect anomalies, and strengthen corporate governance in large aerospace corporations.},
keywords = {Self-Audit Accounting System (SAAS), Financial Matrix, Braille Index, AI-powered financial auditing, automated financial validation, anomaly detection, corporate governance, aerospace financial analysis, Airbus SE, real-time financial monitoring, artificial intelligence in accounting, continuous auditing, financial transparency, risk management, IFRS compliance, balance sheet analysis, profit and loss analysis, stakeholder confidence, financial reporting automation, predictive financial analytics},
month = {August},
doi = {https://doi.org/10.64388/IREV9I2-1710304}
}