AI & Business Functions

When Artificial Intelligence Redefines Accounting Standards: Toward an EnhancedAccounting Profession

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Long viewed as the embodiment of human diligence and regulatory compliance, the accounting profession is entering an era of profound transformation driven by artificial intelligence. From automated data entry to predictive analytics, algorithms are revolutionizing traditional practices. But far from signaling the end of this profession, AI is opening up new strategic and decision-making opportunities.

According to a joint study by the IFAC (International Federation of Accountants) and Deloitte (2024)1 :

  • 83% of accounting firms with more than 10 employees already use at least one AI-based tool.
  • 68% believe that AI significantly improves the detection of anomalies and fraud.
  • 57% of recent accounting graduates want to learn about AI within the next two years.

The core business is thus shifting from production to analysis, and from oversight to strategy.

Artificial intelligence is used at every stage of the accounting cycle, delivering greater efficiency, reliability, and added value.

  • Automated accounting: Solutions such as Pennylane, QuickBooks, and Sage use algorithms to automatically extract data from invoices, categorize it, and post it to the correct accounts. According to a report by the Higher Council of the Order of Chartered Accountants (2024)2, this reduces accounting data entry time by 60 to 80%.
  • Fraud and anomaly detection: Machine learning algorithms identify unusual discrepancies in financial flows, improving the accuracy of audits. CaseWare and MindBridge AI analyze more than 100,000 journal entries in less than 10 minutes.
  • Financial forecasting and automated advice: Tools such as Futrli and DataRails provide customized cash flow, investment, and tax scenarios based on historical data and industry trends.
  • Smart regulatory monitoring: Semantic AI (such as that integrated into Lefebvre Dalloz Intelligence) automatically alerts professionals to legislative changes that affect their clients.

In 2025, 39% of certified public accountants surveyed in France reported spending more time on consulting engagements than on accounting work3.

As tools evolve, so does the role. Accountants no longer simply keep the books; they are becoming financial data analysts, strategic advisors, and guardians of algorithmic ethics.

Emerging new features:

  • Predictive analyst: interprets AI models to inform clients’ decisions (tax optimization, crisis management, predicting delinquent payments).
  • Algorithmic Compliance Architect: Oversees the tools used to ensure traceability and compliance with regulations (GDPR, AML/CFT, AI Act).
  • Digital Coach for Small Businesses and SMEs: He helps business leaders adopt automated tools.

According to the World Economic Forum's Skills Outlook 20254, the fastest-growing skills in the profession are:

  • Data analysis (+29%)
  • Solving complex problems (+26%)
  • Strategic communication with stakeholders (+23%)

Accounting programs now include new training modules focused on AI and data. Key skills include:

  • Proficiency in accounting automation tools: API integration, SaaS platforms, and enhanced ERP systems.
  • Critical analysis of AI outputs: distinguishing between correlation and causation, and identifying potential biases.
  • Data governance: structuring financial information flows within a framework of trust.
  • Algorithmic ethics: assessing the social, fiscal, or environmental impact of AI-assisted decisions.

According to the annual study “The Future of Accounting” (ACCA, 2024)5, 81% of firms plan to invest in AI training for their employees by 2026.

AI can help strengthen the social legitimacy of the accounting profession if it is guided by principles of transparency, traceability, and inclusivity.

  • Algorithm transparency: Tools such as Explainable AI (XAI) make it easier to interpret recommendations generated by AI.
  • Shared liability: Case law is evolving toward a shared allocation of liability among human users, software publishers, and data owners.
  • Standardization of data formats: The OECD and the European Commission are working to harmonize digital accounting standards, notably through the “Open Taxonomy for Finance” initiative.
  • Strengthening the intermediary role: The certified public accountant serves as a guarantor of the clarity and relevance of algorithmic recommendations, both for business leaders and government agencies.

Artificial intelligence does not replace the professional judgment of a certified public accountant. It enhances it by relieving the accountant of low-value-added tasks and providing new opportunities for analysis and consulting.

The question is no longer whether AI will transform the profession, but how accountants will transform their practice with the help of AI.

Between the automation of routine tasks and the growing importance of strategic analysis, finance professionals are evolving into experts in interpreting data. This transition requires training programs, institutions, and software providers to support it with rigor, agility, and ethical standards.

1. IFAC & Deloitte. (2024). AI in Accounting and Assurance: Global Adoption Trends.
https://www.ifac.org/news-events/2024/02/ai-accounting-global-outlook

2. Higher Council of the Order of Chartered Accountants. (2024). Accounting and AI: Is the End of Data Entry Near?
https://www.experts-comptables.fr/comptabilite-et-ia

3. France Stratégie. (2024). Accounting Professions in the Face of AI.
https://www.strategie.gouv.fr/publications

4. World Economic Forum. (2025). Future of Jobs Report 2025.
https://www.weforum.org/reports/future-of-jobs-report-2025

5. ACCA. (2024). The Future of Accounting: Redefining Value in the Age of AI.
https://www.accaglobal.com/gb/en/professional-insights

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