An advanced guide to prompting techniques that maximize AI efficiency and precision in everyday business research, operational due diligence and accounting tasks. Designed for accountants with no prior AI knowledge, the session explores how simple language and strategic prompting can unlock powerful, layered responses from large language models (LLMs). Participants will learn to overcome the "lazy" defaults of AI, using specific techniques to enhance detail, accuracy, and contextual understanding in their queries. By understanding prompt engineering's role, attendees will discover how to guide AI to provide practical, relevant, and analytical insights suited to complex financial scenarios, without needing extensive technical expertise. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Learning Objectives
After attending this presentation you will be able to...
- Select ChatGPT for efficient budget negotiation and allocation.
- Distinguish strategies for compensation and benefits discussions.
- Recognize financial performance issues, including layoffs, with sensitivity.
- Indicate the financial and HR implications of mergers and acquisitions.
- Distinguish compliance with financial and employment laws.
- Identify crisis management strategies in financial downturns.
- Select performance management systems aligning with financial goals.
Major Topics
The major topics that will be covered in this course include:
- Introduction to AI R&D in Accounting: Why internal AI research is essential for modern firms.
- Theory to Practice: Moving quickly from speculative AI concepts to actionable strategies.
- Managing Exponential Change: Understanding the urgency of adapting to AI’s rapid evolution.
- Proactive AI Engagement: Conducting in-house AI benchmarks, research, and hackathons.
- The Dual Role in AI Development: Balancing innovation with data security and ethical responsibilities.
- Internal AI Tools Creation: Encouraging accountants to develop AI solutions tailored to their needs.
- Data Security and Cyber Threats: Addressing AI-enabled cybercrime and protecting against internal risks.
- Mitigating AI Misuse: Recognizing abuse patterns and implementing safe practices.
- Challenges in AI Integration: Handling resistance, management concerns, and rapid technological shifts.
- Continuous Learning and Adaptation: Building a resilient, R&D-focused AI culture in accounting.
