An AI Prompt Every Financial Advisor Should Know

When clients face challenging times, such as market downturns, significant life transitions, or other periods of uncertainty, financial advisors must communicate with empathy and clarity, but finding the right words can be challenging, especially when managing multiple client relationships. AI can help, but you must know how to prompt it to get the results you need.

Goal of the Prompt 

Your clients need more than just facts from your client communications; they need to feel heard and understood. A well-crafted AI prompt helps advisors quickly generate a message that balances empathy with professionalism. 

If you can articulate your goal, which should be to acknowledge your client’s emotions without making any promises and maintain appropriate boundaries, you can craft a better prompt. This will kick off your AI chat with the right framing to help you communicate effectively with your clients, even during busy periods or emotionally charged situations. 

An AI Prompt to Write an Empathetic Client Email

Here’s a structured prompt to help you write an empathetic email, but you should customize it to fit your practice. Your prompt does not have to follow this precise format, but it should include all the same parts.

• Persona: You are a financial advisor communicating with a concerned client. 
• Context: A long-term client just emailed expressing anxiety about recent market volatility and is questioning whether they should make changes to their portfolio. They are nearing retirement and are concerned about their timeline.
• Objective: Draft an email that acknowledges their concerns, provides reassurance without making any promises, and invites further conversation.
• Audience: A client in their early 60s who has been with my practice for over a decade. 
• Tone: Empathetic, calm, reassuring, and professional. 
• Format: A brief email, about 3-4 short paragraphs. 
• Constraints: Do not give specific investment recommendations, performance guarantees, market predictions, or client account details. 

Sample Output

The following response was generated using Claude Sonnet 4.5, but could be used by any of the larger LLM platforms, including ChatGPT, CoPilot, Gemini, etc. 

Hi [Client Name],

Thank you for reaching out. I completely understand your concerns about the recent market movement, especially as you’re getting closer to retirement. It’s natural to feel anxious when you see your account balance fluctuate—this represents years of hard work and careful planning.

What I want you to know is that volatility like this was anticipated when we built your financial plan. Your portfolio is positioned with your retirement timeline in mind, and we’ve planned for periods like this. The strategies we’ve put in place are designed to weather market uncertainty while keeping you on track toward your goals.

I’d welcome the opportunity to walk through your plan together and address your specific concerns. Sometimes seeing the full picture and reviewing how we’ve prepared for moments like this can provide real peace of mind. Would you have time for a call this week?

I’m here to support you through this.

Best regards,

[Your Name]

Refining the Response

Any AI platform you use will improve significantly over time as you refine conversations, because detailed, contextually rich, or emotionally rich prompts help the AI understand your intent better. To make the message more specific or adjust for a new scenario, consider the following follow-up prompts: 

• “Make this more concise for a text message instead of an email.” 
• “This client prefers when I speak plainly, so adjust the tone to be more direct and less formal.” 
• “Revise this email for a client who just lost their job and is worried about their savings.” 

Other Tasks This Prompt Can Accomplish

• Life Event Communications: Adjust the context to address major life transitions like divorce, death of a spouse, or inheritance. 
• Follow-up Email After a Difficult Conversation: Modify the prompt to create a follow-up message after challenging discussions about underperformance, fee questions, or service issues.
• Proactive Check-Ins: Revise the context to reflect reaching out during uncertain times rather than responding to client concerns. 
• Setting Boundaries: Use this prompt when you need to compassionately decline a request or set expectations around communication frequency, response times, or scope of work. 

AI Prompt Best Practices

• Always include context, objective, and format in your prompts. According to OpenAI’s prompt engineering guide, being specific and detailed about the context, outcome, length, format, and style you wish to achieve will significantly improve your results. 
• Use AI for drafting, not publishing. Microsoft’s Azure AI documentation emphasizes that you should treat AI as a collaborative tool that enhances human judgment rather than replaces it.
• Refine AI’s response with additional information if the initial output is insufficient. MIT’s guidance on effective prompts emphasizes the importance of refining your first draft. The second or third attempt often yields better results than your first. 
• Test AI on internal, low-risk tasks first. Google Cloud recommends building familiarity with AI tools in a controlled environment before deploying them in high-stakes client situations.
• Never include personal information in prompts. IBM’s guidance is that AI should never handle sensitive data directly. Use placeholder language like “a client facing job loss” rather than actual names, account values, or any identifying details. 

A Model Prompt You Can Reuse

Use this structure as a guide when creating your own prompts in different contexts: 

• Persona: Describe the role you want AI to play (e.g., productivity coach, client educator, communications assistant).
• Context: Briefly describe the situation or background for the task.
• Objective: State what you want the AI to achieve (e.g., summarize, educate, rephrase, outline, etc.).
• Audience: Define who the content is for (e.g., retirees, colleagues, prospective clients).
• Tone: Specify the desired style or tone (e.g., empathetic, professional, clear, educational).
• Format: Indicate the form of the output (e.g., short paragraph, email draft, bullet list, LinkedIn post, etc.).
• Constraints: List compliance or content limits (e.g., no investment advice, no client identifiers, no forecasts).

The Bottom Line 

For financial advisors, good communication is the key to strengthening client relationships, especially during challenging times. AI can help you craft thoughtful, well-calibrated messages quickly, giving you more time to focus on the personal touches and relationship management that truly differentiate your practice.