Overview of Financial Prompt Engineering

Karthika Jayaprakash
10 min read1 day ago

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Artificial intelligence (AI) developments in recent years have greatly improved how financial institutions handle data, reach decisions, and give their customers individualized insights. Prompt engineering is a method that optimizes the way AI models respond to user queries by organizing and improving prompts. It is an essential component of this shift. Prompt engineering has proven particularly useful for extracting precise information, performing calculations, summarizing complex documents, and producing detailed reports in the finance industry, where timeliness, accuracy, and nuanced understanding are crucial.

The function of prompt engineering in the financial industry is examined in this article, with an emphasis on how customized prompt templates can facilitate effective, dependable, and safe interactions with AI models. We’ll look at case studies to see how prompt engineering can be used to improve productivity and facilitate better decision-making in situations like risk assessment, fraud detection, regulatory compliance, and customer support. This case study offers a more thorough examination of developing these templates and refining LLMs to satisfy the particular requirements of the financial industry.

Drafting your Prompt

In the realm of prompt engineering, a well-crafted prompt serves as the key to unlocking the true potential of AI models. It’s not simply about asking a question; it’s about providing the AI with the necessary context, instructions, and constraints to generate accurate, relevant, and insightful outputs. Think of it as giving the AI a detailed map to navigate the vast landscape of information and produce the desired results.

Here’s a breakdown of the crucial elements that constitute an effective prompt:

  • Instruction: This is the core of your prompt, clearly stating the task you want the AI to perform. Whether it’s summarizing a document, conducting analysis, or generating creative content, the instruction should be unambiguous and specific.
    Example: “Summarize the key findings of the financial report, focusing on revenue growth and profitability.”
  • Context: Provide the AI with background information relevant to the task. This could include the source material, specific areas of focus, or any assumptions it should make.
    Example: “Based on the provided 10-K report for Duolingo, analyze the company’s risk factors related to cybersecurity.”
  • Constraints: Define any limitations or specific requirements for the output. This could include the desired format (bullet points, table, paragraph), length, or level of detail.
    Example: “Generate a list of five potential investment opportunities, with each entry being no more than two sentences long.”
  • Desired Format: Specify how you want the AI to present the information. This could include requesting a particular writing style, tone, or structure.
    Example: “Write a concise executive summary in a formal tone, highlighting the main challenges and opportunities identified in the market analysis.”

Iterative Prompting

Crafting the perfect prompt often involves an iterative process. Start with a clear and concise prompt, then refine it based on the initial outputs generated by the AI. Experiment with different phrasing, levels of detail, and constraints to achieve the desired results. This iterative refinement is crucial to optimizing the interaction with the AI and extracting the most valuable insights.

Examples:

  • Weak Prompt: “Tell me about the risks of investing in Tesla.”
  • Strong Prompt: “Analyze the potential risks and rewards of investing in Tesla stock in the current market conditions. Consider factors such as competition in the electric vehicle market, supply chain disruptions, and the company’s financial performance. Provide a balanced perspective, highlighting both the positive and negative aspects.”

By mastering the art of prompt engineering, you can transform the way you leverage AI in finance, unlocking new levels of efficiency, accuracy, and insight.

An Analysis of Role-Specific AI Templates for Strategy, Risk, Compliance, and Customer Engagement

A consulting firm is tasked with assessing Duolingo’s growth strategy and financial health, using insights from the company’s recent 10-K report. The team from the consulting firm collaborates to evaluate whether Duolingo’s current trajectory is sustainable given its financial performance and competitive position in the language-learning market.

Alice, the Risk Analyst, begins by reviewing the “Risk Factors” section of Duolingo’s 10-K report. She identifies potential threats to the company’s growth, such as competition from other language-learning platforms. Her analysis helps highlight areas where Duolingo may need to adjust its strategy to mitigate these risks and maintain its user engagement and subscription growth.

Here is the prompt She used and the results it gave her.

Assume the role of a risk analyst tasked with identifying and analyzing the key risks facing Duolingo based on their latest 10-K filing. Prioritize these risks by their potential impact on the company's financial performance in the coming year. Provide at least 10 risks. 
For each risk, provide:
Risk Factor: A detailed explanation of the risk.
Potential Impact: How the risk could affect Duolingo's business, financial condition, and results of operations.
Investment Decision: Discuss how this risk might influence an investor's decision to buy, sell, or hold Duolingo stock.
Citation: Include the page and line number from the 10-K report where the risk is mentioned.
Finally, summarize the top 3 most critical risks that investors should monitor closely when evaluating Duolingo's investment potential.

This prompt helped her summarize and retrieve the necessary information required to create her report.

Refer to this link to see the prompt response.

Bob, the Compliance Officer, examines the document to ensure that Duolingo’s operations comply with relevant laws and regulations. His findings provide assurance that the company adheres to data protection and privacy laws, minimizing the risk of legal challenges or penalties.

Bob drafts the following prompt to help him with his analysis

Assume the role of a compliance officer tasked with assessing Duolingo's regulatory compliance based on their latest 10-K filing. Examine the 10-K document to ensure that Duolingo's operations comply with relevant laws and regulations, with particular attention to data protection and privacy laws. 
For each compliance area, provide:
Compliance Risk: A detailed explanation of the specific legal or regulatory requirement.
Duolingo's Compliance Efforts: How Duolingo is meeting the requirements and mitigating the risk.
Potential Impact: Explain the potential impact of non-compliance on Duolingo's business, financial condition, and results of operations.
Citation: Include the page and line number from the 10-K report where the compliance risk is mentioned.
Finally, provide a conclusion on Duolingo's overall compliance posture based on your analysis, highlighting any areas of concern or potential improvement.

Refer to this link to see the prompt response

Carol, the Financial Analyst, focuses on the “Financial Statements” and “Management’s Discussion and Analysis” sections to evaluate Duolingo’s revenue growth, expenses, and overall financial health. She assesses whether the company’s investments in product development and market expansion are financially sustainable, ensuring that Duolingo’s business model aligns with long-term profitability.

Carol drafts the below prompt to help her with her analysis

Assume the role of Carol, a financial analyst, and dissect Duolingo's latest 10-K filing to gauge the company's financial strength and potential as an investment. Carol's analysis should primarily utilize the "Financial Statements" and "Management's Discussion and Analysis" sections of the 10-K report. 
Focus your analysis on the following key areas:
Revenue Growth:
What are Duolingo's main revenue sources?
How have these revenue streams changed over time?
What factors are driving Duolingo's revenue growth?
What potential challenges could affect Duolingo's future revenue?
Expenses:
What are Duolingo's major expense categories (e.g., research and development, sales and marketing)?
What are the recent trends in these expenses?
How are these expenses impacting Duolingo's profitability?
Profitability:
How is Duolingo performing in terms of profit generation (consider metrics like gross margin, operating margin, net income)?
Can Duolingo sustain this level of profitability in the future?
Financial Sustainability:
How much is Duolingo investing in product development and expanding its market?
Are these investments sensible given Duolingo's financial situation?
Are these investments likely to help the company grow in the long term?
Business Model:
Does Duolingo's business model seem like it can support long-term profitability? Consider factors like user growth, how they make money, and the competitive landscape.
For each of these areas, make sure to:
Summarize your key findings from the 10-K.
Back up your analysis with numbers and specific metrics from the financial statements.
Clearly explain what the data means for Duolingo's financial situation.
Include citations with page and line numbers for every piece of data you pull from the 10-K.
Use charts and graphs to visually present data and analysis where appropriate. Finally:
Give your overall take on Duolingo's financial health and what you think its future holds. Based on everything you've learned, would you recommend Duolingo as a good investment opportunity?

Refer to this link to see the prompt response

David, the Customer Support Specialist, analyzes the “Business Overview” section to create a clear and concise summary of Duolingo’s mission and strategic goals. By synthesizing the team’s findings, he drafts a summary that presents Duolingo’s strengths and growth strategy in an accessible way for external stakeholders.

He drafts the below prompt to create a summary on the Business overview

Assume the role of a business analyst tasked with evaluating Duolingo's business overview and strategic goals based on their latest 10-K filing.

For each strategic goal, provide:

Goal: A concisely written strategic goal.

Strategy: How Duolingo plans to achieve the goal.

Success Metrics: The metrics Duolingo will use to measure progress towards the goal.

Potential Impact: Explain the potential impact of achieving the goal on Duolingo's business, financial condition, and results of operations.

Citation: Include the page and line number from the 10-K report where the goal is mentioned.

Finally, provide a conclusion on Duolingo's overall strategic direction and the potential impact on the company's future success.

https://gemini.google.com/share/628f1229a921

After creating the Business Overview, he combines the documents from his teammates to create a single source of truth to be shared with stakeholders.

Assume the role of a customer support specialist tasked with conveying Duolingo's current status regarding risk, compliance, and financial wellness to external stakeholders. By synthesizing the team's findings from the "Risk Analysis.pdf," "Compliance Analysis.pdf," and "Financial Analysis.pdf" documents, present the information in an accessible way.

For risk, provide the following:



Risk Factor: A detailed explanation of the risk.

Potential Impact: How the risk could affect Duolingo's business, financial condition, and results of operations.

Investment Decision: Discuss how this risk might influence an investor's decision to buy, sell, or hold Duolingo stock.

Citation: Include the page and line number from the 10-K report where the risk is mentioned.

For compliance, provide the following:



Compliance Requirement: The specific regulation or law that Duolingo must comply with.

Duolingo's Compliance Efforts: How Duolingo is working to meet the compliance requirement.

Potential Impact of Non-Compliance: The consequences Duolingo could face if they fail to meet the compliance requirement.

Citation: Include the page and line number from the relevant report where the compliance requirement is mentioned.

For financial wellness, provide the following:



Strength: A detailed explanation of the strength.

Supporting Evidence: How the strength is evident in Duolingo's current business model and operations.

Impact: Discuss how this strength could affect Duolingo's business and financial condition.

Citation: Include the page and line number from the relevant report where the strength is mentioned.

For growth strategy, provide the following:



Goal: A detailed explanation of the goal.

Strategy: How Duolingo plans to achieve this goal.

Potential Impact: How this strategy could affect Duolingo's business and financial condition.

Citation: Include the page and line number from the relevant report where the strategy is mentioned.


Finally, summarize the top 3 most critical aspects of risk, compliance, and financial wellness that stakeholders should monitor closely when evaluating Duolingo.

He also converts it into an email format that can be sent to all stakeholders with the summary attached to it.

Modify the above summary to create an email with key takeaways about the summary that highlight the important details . 
The readers are stakeholders in the financial industry.
The email should be clear and concise and shouldnt be more than a 3 minute read.

Further Use Cases in the Finance Industry

Marketing Analyst examines Duolingo’s market performance, user acquisition strategies, and brand positioning. By analyzing metrics like customer acquisition costs and user retention rates, they provide insights on how Duolingo can improve its market share and attract new users.

Product Manager assesses Duolingo’s product features and user feedback. Their goal is to determine whether the platform is innovating and adapting to user demands, ensuring that Duolingo’s offerings remain competitive in the evolving language-learning market.

Data Scientist analyzes engagement data and user behavior trends to identify areas for improvement in Duolingo’s product and user experience. Their insights help the firm predict future growth patterns and suggest ways to enhance user retention.

Operations Manager evaluates Duolingo’s operational efficiency, focusing on cost structures and scalability. This role ensures that the company’s growth plans are supported by an efficient and scalable infrastructure.

Conclusion

Prompt engineering is rapidly transforming the financial landscape, empowering institutions and professionals to harness the full potential of AI. By crafting precise and effective prompts, we can unlock valuable insights from complex financial data, automate tasks, and enhance decision-making across various domains.

The Duolingo case study highlighted how prompt engineering can streamline financial analysis, risk assessment, compliance checks, and customer communications. However, the applications extend far beyond this single example. From real-time market analysis to personalized financial advice and fraud detection, prompt engineering is poised to revolutionize how we interact with financial data.

As we continue to refine our prompting techniques and develop more sophisticated AI models, we can expect even greater efficiency, accuracy, and innovation in the financial industry. However, it’s crucial to remember that human oversight remains essential. While AI can process and analyze information at incredible speed, human expertise is vital to interpret results, ensure accuracy, and address ethical considerations.

The future of finance lies in a collaborative partnership between humans and AI, where prompt engineering acts as the bridge to unlock a world of possibilities. By embracing this technology responsibly and ethically, we can navigate the complexities of the financial world with greater confidence and achieve better outcomes for individuals and institutions alike.

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