Master the Art of Prompt Engineering to Transform Your Accounting Practice

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In just 60 minutes, you’ll uncover the secrets to crafting prompts that deliver exceptional results and revolutionize your firm's efficiency! Are you ready to take your accounting practice to the next level with the power of AI? Join us for a comprehensive webinar where you’ll learn the crucial role of prompt engineering and how it can drastically improve your workflow and client interactions.

In today's competitive market, prompt engineering is a game-changer for accounting firms. This webinar will teach you the ins and outs of creating effective prompts, ensuring you get the most out of your AI tools. Discover how to save time, enhance accuracy, and provide superior service to your clients by mastering the art of prompt engineering. This skill is not just a technical proficiency but a strategic advantage that can transform the way your firm operates, helping you to stay ahead of the competition.

Led by Mark Wickersham FCA, a renowned expert in accounting and AI integration, this fast-paced session will provide you with the tools and knowledge to harness AI effectively. You'll explore key strategies for crafting prompts that are not only precise but also adaptable, allowing you to streamline tasks, automate complex processes, and enhance your client communication. Whether you're new to AI or looking to refine your existing skills, this webinar offers something for everyone.

Your Benefits for Attending
  • Develop AI-Powered Templates: Learn how to create template prompts that automate common accounting tasks, enabling you to work smarter, not harder.
  • Master Prompt Engineering: Understand the importance of prompt engineering and how it can become a cornerstone of your accounting firm's success.
  • Create Effective Prompts: Identify the core components of an effective prompt, from specifying roles to defining response formats, ensuring you get the most accurate and useful outputs.

This isn't just another training session. It's an opportunity to delve deep into a skill that can set your firm apart from the competition. Gain exclusive insights and practical techniques that you won’t find anywhere else. Don’t miss this chance to revolutionize your accounting practice with the power of AI. Register now to secure your spot!

  1. Introduction
  2. You Will Discover… 00:03:30
  3. What Is Prompt Engineering? 00:04:23
  4. Your Free Resource 00:09:56
  5. ChatGPT For Accountants And Bookkeepers 00:10:06
  6. Prompt Engineering 00:11:32
  7. The Basics Of Prompt Engineering 00:11:43
  8. The Two Types Of Prompts 00:17:10
  9. Core Components of an Effective Prompt 00:19:38
  10. Connect With Me 00:33:04
  11. Practical Example 00:34:13
  12. Follow-up - Prompt Strategies 00:20:12
  13. Follow-up Strategies 00:20:13
  14. Edit v Regenerate v Try Again 00:52:52
  15. Exclusive Insights and Free Training 00:58:16
  16. Q & A 01:00:17
  17. What We Covered 01:02:12
  18. Presentation Closing 01:02:21
  • Mark Wickersham

ATATX Credit

Aurora Training Advantage is offering continuing education points designed to recognize dedication to training and excellence in accounting.
  • Artificial Intelligence (AI) 00:04:17, 00:09:24
  • Chain-of-thought Prompting 00:13:16
  • ChatGPT 00:02:17, 00:03:59, 00:05:14, 00:12:53, 00:20:27, 00:34:23, 00:53:09
  • Large Language Model (LLM) 00:04:45, 00:12:34
  • One-shot Prompting 00:13:16
  • Prompt Engineering 00:01:38, 00:03:35, 00:04:27, 00:11:35
  • Prompt Template 00:03:44, 00:17:21, 00:18:11
  • Value-Based Pricing 00:02:05, 00:33:18

Artificial Intelligence (AI): Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals.

Chain-of-thought Prompting: Chain-of-thought Prompting enables complex reasoning capabilities through intermediate reasoning steps. You can combine it with few-shot prompting to get better results on more complex tasks that require reasoning before responding.

ChatGPT: ChatGPT, which stands for Chat Generative Pre-trained Transformer, is a large language model-based chatbot developed by OpenAI and launched on November 30, 2022, notable for enabling users to refine and steer a conversation towards a desired length, format, style, level of detail, and language used.

Large Language Model (LLM): A large language model (LLM) is a deep learning algorithm that can perform a variety of natural language processing (NLP) tasks. Large language models use transformer models and are trained using massive datasets — hence, large. This enables them to recognize, translate, predict, or generate text or other content.

One-shot Prompting: One-shot prompting is a powerful strategy that enables AI models to perform specific tasks by providing just a single example or template. This approach is especially beneficial when the undertaking calls for a few degrees of guidance or a selected format without overwhelming the version with multiple examples.

Prompt Engineering: Prompt engineering, primarily used in communication with a text-to-text model, is the process of structuring text that can be interpreted and understood by a generative AI model. Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts

Prompt Templates: Prompt templates include placeholders for specific details about customers, products, and more. Once those placeholders are filled with real, relevant data, the prompt template becomes a truly personalized prompt.

Value-Based Pricing: Value-based price is a pricing strategy which sets prices primarily, but not exclusively, according to the perceived or estimated value of a product or service to the customer rather than according to the cost of the product or historical prices.


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Frequently Asked Questions

Prompt engineering is the practice of designing, structuring, and refining the inputs (prompts) you provide to AI tools like ChatGPT to get outputs that are accurate, useful, and appropriately formatted for your specific purpose. In accounting, prompt engineering transforms AI from a generic writing assistant into a specialized practice tool. Without strong prompting skills, AI outputs tend to be generic, miss important context, or require extensive editing—negating much of the time savings AI promises. With skilled prompting, accountants can generate tax research summaries, client advisory emails, engagement letters, financial explanations, and procedure documentation in a fraction of the time required for manual drafting. As AI becomes embedded in accounting workflows, prompt engineering is shifting from a nice-to-have technical curiosity to a core professional competency that differentiates high-productivity practitioners. Mark Wickersham's prompt engineering webinar, available through Aurora Training Advantage, provides accounting professionals with a structured curriculum for developing this skill from foundational concepts to practical application in real accounting scenarios.
In prompt engineering, the two fundamental prompt types are zero-shot prompts (which provide no examples and rely entirely on the AI's training to generate the response) and few-shot prompts (which include one or more examples of the desired output format to guide the AI). For accounting applications, few-shot prompting typically produces more accurate, consistently formatted results because it shows the AI exactly what a good output looks like for your specific use case. The core components of an effective accounting prompt include: a role assignment ('You are an experienced CPA specializing in small business tax'), a clear task description with specific instructions, relevant context about the client or situation, the desired output format (bullet points, paragraphs, table), the appropriate length and tone, and any constraints to observe (avoid legal advice, use plain language for clients). Chain-of-thought prompting—asking the AI to reason through a problem step by step—is particularly useful for complex accounting or tax research tasks. Mark Wickersham's prompt engineering webinar walks accounting professionals through each component with practical examples.
AI-powered prompt templates are reusable, structured prompts with placeholder variables that accountants fill in for each specific use case—enabling consistent, high-quality AI outputs without rebuilding the prompt from scratch each time. Effective accounting prompt templates can be created for: drafting client engagement letters (variables: client name, services, fee structure, start date), preparing tax advisory emails (variables: client situation, relevant code section, recommendation), generating financial report narrative summaries (variables: period, key metrics, notable changes), and creating internal procedures or checklists (variables: task type, compliance requirements). The template structure remains constant while the variable content changes per task. Templates can be stored in a shared document library for team-wide use, creating organizational efficiency and consistency. Firms that build a library of 20-30 well-tested prompt templates for their most common tasks can reduce drafting time by 60-80% across those workflows. Mark Wickersham's prompt engineering webinar, through Aurora Training Advantage, provides accountants with a template design framework and starter templates they can customize immediately for their practice.
Effective AI-assisted accounting workflows rarely produce perfect outputs from a single prompt—the real productivity gain comes from knowing how to efficiently iterate toward a usable result. Three primary follow-up strategies are available: editing the original prompt (going back and refining the instructions to address specific gaps before resubmitting), regenerating (asking ChatGPT to produce a new version of the same response using slightly different language), and trying again with a refined prompt in the same conversation thread (adding clarifying context or correcting specific errors). For accounting tasks, follow-up prompts that target specific improvements—'make this less formal,' 'add a specific example related to depreciation,' or 'shorten the third paragraph'—are more efficient than regenerating the entire output repeatedly. Understanding which strategy fits which type of refinement need significantly reduces the time spent iterating. Mark Wickersham's prompt engineering webinar for accounting professionals provides specific guidance on these follow-up strategies along with the decision framework for choosing between edit, regenerate, and try again in different accounting workflow contexts.
Prompt engineering is increasingly a competitive differentiator for accounting firms because AI amplifies the productivity of skilled practitioners while doing relatively little for those who use it generically. Firms that invest in prompt engineering training can produce more work at the same or lower cost, serve clients faster without sacrificing quality, and offer more advisory services (which are more valuable and profitable than compliance work alone) because AI handles more of the routine drafting and research. Client service improves directly: faster turnaround on questions, more proactive communication, better-explained advice in plain language, and more consistent documentation all enhance the client experience. Firms known for responsiveness and clarity retain clients and generate referrals more reliably than technically excellent but poor-communicating competitors. Mark Wickersham, known for helping accounting firms double their profits, positions AI and prompt engineering as among the most accessible and high-ROI investments available to modern accounting practices. Aurora Training Advantage's prompt engineering webinar provides the practical foundation every accounting professional needs to capitalize on this opportunity.