Amidst the rapid development of digital transformation and artificial intelligence, the auditing industry is undergoing a comprehensive restructuring of its methods, tools, and human capabilities. Auditing technology training is no longer a supplementary option but has become a mandatory requirement for auditors to maintain their professional value. This article analyzes the trends in digital auditing in 2025, the core technologies that should be prioritized for training, and the appropriate competency enhancement roadmap for each level of auditor in the AI era.
The importance of technology training in the auditing industry today.
The auditing industry is at a historical turning point as traditional working methods gradually reveal their limitations in terms of speed and the ability to handle large-scale data. The shift from traditional auditing to digital auditing is no longer an option but a mandatory requirement for the survival of professional organizations.
Technology plays a crucial role in enhancing the transparency and reliability of financial reporting. Instead of relying solely on tangible evidence and manual verification, auditors can now trace data directly from sophisticated ERP systems.
This is precisely why technology training has become a vital element for the careers of modern auditors. Those who fail to adapt risk being replaced by automated systems capable of continuous, highly accurate work. In Vietnam, the challenge of the digital skills gap is becoming more apparent than ever as international standards demand deep data integration.
The current state of the digital capabilities gap in Vietnamese auditing firms.
The human resources landscape in the auditing industry in Vietnam reveals a significant disparity in technological capabilities. This situation creates certain barriers to synchronizing service quality across different units, particularly in terms of service fee pressure when performance is not yet optimized.
Below is a table comparing the technological readiness levels among common audit firms in Vietnam:
| Evaluation index | The Big4 group and international firms | Small and medium-sized domestic auditing firms |
|---|---|---|
| Technology infrastructure | Modern, globally integrated | Still fragmented, limited investment. |
| Training budget | Accounts for a large proportion annually. | Purely vocational training is usually prioritized. |
| Data analysis capabilities | AI and Big Data have been applied. | It mainly stops at Excel and accounting software. |
| Digitization process | Achieved above 80% process | Still heavily reliant on paper documents. |
Note: The above figures are based on surveys of digital transformation trends in the professional services industry in Vietnam during the 2023-2024 period conducted by reputable professional organizations.
Experience from consulting and auditing shows that this divergence leads to direct consequences such as delays in completing documentation due to reliance on manual reconciliation in Excel. While young auditors (Gen Z) are tech-savvy but lack practical experience, experienced managers sometimes face psychological barriers when adopting modern processes, creating a "bottleneck" in approving digital documents.
Key technology tools should be prioritized for training.
To bridge the skills gap, training programs need to focus on core technology areas that have the potential to fundamentally transform job performance. These skills include:
- Artificial intelligence (AI) and machine learning (ML): Help detect unusual transactions and fraudulent behavior by analyzing historical data patterns.
- Big Data analysis: Allows auditors to examine general journal entries instead of simply selecting random samples as before, maximizing the reliability of audit opinions.
- Blockchain technology: Applications include verifying inter-party transactions or managing supply chains, creating immutable audit evidence.
- Automating processes with RPA robots: Replacing humans in data entry, reconciliation of opening balances, or other repetitive, routine tasks.
- Specialized audit support software and ERP: Proficiency in systems such as SAP, Oracle, or internal audit software to understand the flow of cash within client businesses.
Applying artificial intelligence in modern auditing processes by 2025
2025 marks the explosion of large language models (LLMs) in the financial sector. AI is no longer a distant concept but has become a powerful co-pilot in every stage of the audit process.
The application of AI brings groundbreaking benefits to business processes, such as:
- Report drafting support: LLM models are capable of synthesizing information from thousands of pages of records to generate preliminary audit report drafts in professional language.
- Multi-source data matching: AI automatically scans and matches information from electronic invoices, tax returns, and customer ledgers to find discrepancies in an instant.
- Risk forecasting: Utilizing advanced algorithms to analyze financial models, thereby providing early warnings about the business's ability to continue operating.
- Specialized virtual assistant: Helps auditors quickly look up International Financial Reporting Standards (IFRS) or complex circulars and decrees of Vietnamese law.
However, from an expert perspective, we emphasize that all results generated by AI are for reference only. Auditors must be the final evaluators and bear the highest legal responsibility for the audit report.
Effective technology training roadmap categorized by employee level.
A successful technology training program cannot apply a single knowledge framework to everyone. The learning path needs to be personalized based on the actual role:
- For entry-level auditors: Focus on execution skills, proficiency in basic data analytics software, RPA, and Prompt Engineering techniques to effectively communicate with AI.
- For managers and team leaders: Training in supervisory skills, knowing how to assess the validity of algorithms, and managing risks in the process of collecting electronic evidence.
- For company leaders: Focus on strategic thinking, how to optimally invest in technology infrastructure, and building a digital culture within the business.
The training format should flexibly combine online courses for flexible scheduling with practical workshops using simulated data to hone skills in handling real-world situations.
Ethical standards and professional responsibility in the digital auditing era.
No matter how advanced technology becomes, the core values of the auditing profession remain trust and ethics. Auditors must always maintain their independence and objectivity in all situations.
We need to establish strict working principles:
- Data security: Ensuring all customer information is encrypted and processed in a secure environment, in compliance with Vietnam's Cybersecurity Law.
- Critical thinking: Never rely entirely on machine results; always question the validity of input and output data.
- The human-machine integration: Viewing technology as a tool to free up manual labor, thereby freeing up more time for evaluating complex accounting estimates.
Forecast of trends in auditing technology training in the coming years.
The future of the auditing industry will shift dramatically towards a continuous auditing model. According to forecasts from the World Economic Forum (WEF), artificial intelligence agents (AI agents) will soon be capable of autonomously running basic internal control processes.
This requires professional organizations and specialized training centers like the Master Accountant Network to continuously update their digital competency frameworks. International collaboration to recognize specialized technology certifications will become a new standard for establishing the credibility of auditors in the global labor market.
Conclusion on the future of auditing and technology training.
Technology training is no longer an additional course but a sustainable development strategy. Investing in the digital capabilities of the team is the best way to enhance the value of audit services in the eyes of clients and society.
While the AI era brings about many changes, the role of humans in making ethical decisions remains unique. Individuals and organizations need to proactively build learning pathways today to transform technological challenges into a distinct competitive advantage.
If you're looking for internal training guidance or want to enhance the digital capabilities of your audit team, start by reassessing the current skills framework to take the most appropriate and effective steps.
