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Using AI in the Audit of Financial Statements - Image 1
Using AI in the Audit of Financial Statements
Hybrid

In-person / ZOOM

7

CPD Hours Awarded

In Stock

$470.00/Pax

Date: 18 November 2026 ( Wednesday )

Time: 9am-5pm

This workshop qualifies for:

3.5 CPE hours in Auditing and Assurance Standards, Pronouncements and Methodology (Category 3); and

3.5 CPE hours in Information Technology (Category 5)

This is a hybrid session. You have the option to attend this live in-person or online via Zoom. Please indicate in “Remarks” section in your registration your mode of learning.

As part of our commitment towards minimizing carbon footprint and contributing to a healthier planet, we will only be issuing the soft copy of the training materials.

The training materials will be emailed to you 2 days before the workshop. Charging points are available in the training room to charge your digital device.

Participant (In Person) 1

Events/Attendees Discount Discounted price
2 5% $446.50
3 - 999 10% $423.00


Sign up for 1 event with 2 attendees: 5% discount
Sign up for 1 event with 3 or more attendees: 10% discount

Sign up for 2 events: 5% discount
Sign up for 3 or more events: 10% discount

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This practical workshop aims to show how AI can be used in an audit of financial statements, specifically addressing the following:
• Audit planning
• Risk assessment
• Substantive test

It will also include practical steps to:
• write better prompts to obtain useful audit-related outputs;
• identify weaknesses, errors, and risks in AI-generated response

Planning – Using AI to:

  • compare current-year and prior-year financial information
  • identify unusual trends, balances, and relationships using AI
  • prepare management inquiry questions
  • generate preliminary risk observations

Testing – Using AI to assist in:

  • extracting key terms from agreements, e.g. lease agreements
  • reviewing revenue contract for performance obligations and pricing clauses
  • identifying accounting issues with reference to accounting standards
  • scanning board minutes and correspondence for audit-relevant matters

Write effective prompts that generate more relevant, complete, and reviewable outputs

  • prompting for audit procedures, issue summaries, and memo structures
  • prompting for comparison, exception analysis, and question generation

Common weaknesses in AI-generated responses:

  • incorrect facts,
  • missing facts,
  • unsupported assumptions,
  • wrong standard references,
  • overconfident conclusions

An integrated case will be used to show how an AI tool will be used for the above tasks.

The Trainer will using his paid version of ChatGPT for demonstration and teaching purpose. Participants can try using their free version. However, the free version will have its limitations. Sample data and documents will be provided.

This workshop qualifies for:

3.5 CPE hours in Auditing and Assurance Standards, Pronouncements and Methodology (Category 3); and

3.5 CPE hours in Information Technology (Category 5)

  • Accountants
  • Audit Professionals
  • Anyone who is interested in an appreciation of how AI can be used in the audit of financial statements

The Trainer will using his paid version of ChatGPT for demonstration and teaching purpose. Participants can try using their free version. However, the free version will have its limitations. Sample data and documents will be provided.

Chee Hay Kheong Daniel

Daniel holds an Honours degree in Accountancy from the National University of Singapore and is a Certified Information Systems Auditor (CISA). He has more than 15 years of experience in the accounting profession, having worked for one of the Big 4 accounting firms both in Singapore and in the United Kingdom. He has also more than 5 years of senior management experience with MNCs, managing their operations in Singapore and Asia.

Daniel is a highly sought-after seminar trainer. He was an Adjunct Professor in the School of Business, Singapore University of Social Sciences and an Adjunct Associate Professor in the Department of Accounting of the NUS Business School. He served as a committee member of both the IT Committee and the Examination Committee of ISCA, and was a Committee member of the Disciplinary Sub-Committee of Accounting and Corporate Regulatory Authority (ACRA).