Artificial intelligence is already being used across finance and accounting, but many users do not know how. This seminar will demonstrate real-world use of AI cases in accounting, finance, and audit. We will provide a practical, hands-on introduction on using AI as a productivity and decision-support tool to support research, analysis, communication, and review activities while improving efficiency, enhancing work quality, and supporting professional judgment. The goal is to give you the clarity and confidence to start using AI immediately and effectively.
Learning Objectives
After attending this presentation, you will be able to...
- Identify how large language models (LLMs) work at a practical level
- Determine how to apply AI to interpret and analyze complex information (e.g., accounting standards)
- Analyze AI responses for accuracy, completeness, and risk
- Use AI tools with greater confidence in day-to-day work
- Identify high-impact use cases for AI in finance and accounting
Major Topics
The major topics that will be covered in this course include:
- The capabilities and limitations of modern AI tools used in finance, accounting, and audit environments
- Practical use cases where AI can improve efficiency and effectiveness in finance
- Apply contextual information and structured prompting techniques to generate more relevant and useful AI outputs
- Demonstrate real world applications of AI tools to support common professional activities within finance, accounting, and audit environments
- Evaluate AI-generated content for accuracy, completeness, reasonableness, and potential risk
- Recognize situations where critical thinking, professional judgment, skepticism, and human oversight remain necessary when using AI-assisted outputs
