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Lesson 13

AI for Meeting Prep: Comms & Scenarios

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Hello! Welcome to the final lesson in our module on AI-Enhanced Corporate Finance Workflows.

In our last session, we focused on ensuring the integrity of your financial models by using AI as an auditor. You learned the crucial "describe, don't upload" method to have AI generate QA checklists and suggest model extensions, all without compromising data security.

Today, we'll take the output of your robust, audited models and prepare it for the ultimate test: a meeting with stakeholders. The learning outcome for this lesson is to prepare for meetings by using AI to draft professional communications and build scenario analyses. This is where your analytical work transforms into influence and strategic impact. We'll cover how to use AI not just to crunch numbers, but to craft compelling narratives and anticipate the cut-and-thrust of strategic discussions.

1. From Analyst to Strategist: AI as Your Thought Partner

A critical part of meeting preparation is anticipating your audience's questions and framing your analysis in a way that resonates with them. An AI can serve as an invaluable sounding board, helping you pressure-test your ideas and tailor your message. This moves the AI from a simple executor of tasks to a strategic "thinking partner."

To get the most out of this partnership, you need to provide the AI with the right context. Let's explore some expert-level prompts designed for exactly this purpose.

AI Prompts for Finance: 15 Real-World Examples

The following article, 'AI Prompts for Finance: 15 Real-World Examples,' from the Association for Financial Professionals, provides excellent prompts for using AI as a thought partner and a virtual assistant. These are created by senior finance professionals.

Please read the sections titled 'Act as a Thought Partner' and 'Act as a Virtual Assistant'. Pay special attention to these prompts: 'As a VP of [insert department], what questions would you ask of this analysis...?' 'What is the best way to explain why this matters to this [...] audience?' 'Rephrase the following email to make it clear, effective and appropriate...'

These prompts are powerful because they force the AI to adopt a specific persona and consider the audience's perspective. This is a direct application of the role-based prompting techniques we covered in the first module.

Drafting Communications Directly in Your Workflow

Once you've used the AI to brainstorm talking points, you can use it to draft the communications themselves. For this, Gemini Pro's integration with Google Workspace is particularly useful.

The video below demonstrates how to use the Gemini side panel directly within Gmail to turn unstructured notes into a polished, professional email.

Master 85% of Google Gemini in 12 Minutes

In this clip from 'Master 85% of Google Gemini in 12 Minutes' by Jeff Su, you'll see a practical demonstration of drafting an email using the Gemini side panel.

Watch the segment from 06:25 to 07:18. Notice how the user inputs a few key thoughts and lets Gemini handle the structure, tone, and professional phrasing. This is a massive time-saver for meeting requests and follow-ups.

This integrated workflow minimizes context switching, allowing you to stay focused on the task at hand. Remember to provide clear instructions regarding the purpose, audience, tone, and any constraints, as suggested in the "AI Prompts for Finance" reading.


2. Building Scenario Analyses for Strategic Discussions

Stakeholder meetings, especially in finance, rarely focus on a single set of numbers. The real discussion is about the future: "What if sales are 10% higher?" or "What's the impact of a supply chain disruption?" This is where scenario analysis comes in. You can use AI to rapidly brainstorm and structure these scenarios.

The goal is to create a clear comparison of different potential outcomes, similar to the template shown below.

Example Financial Scenario Analysis Template
This is a typical financial scenario analysis template, showing key metrics across different scenarios (e.g., Staffing, Expenses, Margin). AI can help you structure the data and logic needed to populate such a view.

From Model to Scenarios

Building on the previous lesson where you described a model to the AI, you can now ask it to outline the logic for different scenarios. The following video discusses this exact application in a CFO context.

100 SECRET tips on AI for FINANCE/ AI for CFO

This clip from '100 SECRET tips on AI for FINANCE/ AI for CFO' by Nicolas Boucher explains how to extend a financial model to create dynamic scenario analysis tools specifically for meetings.

Please watch from 09:50 to 10:54. The key idea here is to go beyond a static model and ask the AI to help create a dynamic tool that allows you to change assumptions live during a meeting.

To do this effectively, your prompt needs to be very specific about what you want to model. A great approach is outlined in the "4 Hours to a Board Deck" article, which frames scenario analysis as a core part of strategic narrative development.

4 Hours to a Board Deck: How CFOs Are Using AI to Transform Financial Presentations

This article provides a strategic framework for using AI to prepare for high-stakes meetings. We'll focus on the section about generating the core strategic narrative.

Please read the section titled 'Phase 1: Strategic Analysis and Narrative Development'. Focus on the bullet points for 'AI-Assisted Insight Generation' and 'Scenario Framing'. This shows how scenario analysis fits into the larger goal of creating a compelling story for the board.

A Prompt for Building Scenarios

Let's look at a concrete prompt that pulls these ideas together. You can ask the AI not just for the scenarios, but for the prompt itself that would generate the model in another tool. This is a powerful meta-prompting technique.

AI Prompts for Finance: 15 Real-World Examples

Let's revisit 'AI Prompts for Finance'. There's an advanced prompt here that asks the AI to generate a prompt for another AI (like Copilot in Excel) to build a full model with scenario testing.

Find the final prompt in the 'Provide Technical Assistance' section, which starts with 'Create a detailed prompt that I can use to ask Copilot to build a financial model...'. This is an excellent example of how to precisely define the structure of your model and the scenarios you want to test: 'Test two scenarios: 1) volume increases by 8% and 2) price drops by 5%'.

Even if you aren't using Copilot, the structure of this prompt is a masterclass in telling an AI exactly what you need for a scenario analysis. You can adapt this for Gemini by asking it to provide the formulas and layout you would need to build this in Google Sheets.


3. Practice Exercise: From Analysis to Action

Let's combine these skills. Imagine you've just finished auditing the departmental budget model from our last lesson's exercise. Now, you need to prepare for a review meeting with the department head.

Scenario:

  • Model: A departmental budget model showing monthly planned expenses for the upcoming year.
  • Meeting Goal: Brief the department head on the proposed budget, discuss potential risks and opportunities, and get their sign-off.

Your Task (in Gemini Pro):

  1. Task 1: Build Scenarios

    • Start a new chat. Briefly describe the budget model to Gemini.
    • Craft a prompt asking it to outline a "Cost Savings" scenario and a "Growth Investment" scenario.
    • Specify the key variables to adjust for each scenario (e.g., for Cost Savings: reduce T&E by 15%, freeze hiring; for Growth Investment: increase marketing spend by 20%, hire two new team members mid-year).
    • Ask Gemini to structure the output as a table comparing the 'Base Budget', 'Cost Savings', and 'Growth Investment' scenarios across key expense categories and the total budget impact.
  2. Task 2: Draft Meeting Communications

    • In the same chat, craft a follow-up prompt.
    • Prompt 1 (Anticipate Questions): Ask Gemini: "Acting as a busy department head with a focus on ROI, what are the top 3 questions you would ask about this scenario analysis?"
    • Prompt 2 (Draft Email): Based on the scenarios and anticipated questions, ask Gemini to draft a concise email to the department head.
      • Purpose: To provide a high-level summary of the budget scenarios and to schedule a 30-minute meeting to discuss them.
      • Audience: Busy executive who values clear, bottom-line communication.
      • Tone: Professional, proactive, and concise.

Take 15 minutes to work through this. Pay attention to how a clear definition of scenarios and audience persona shapes the quality of Gemini's output.


Conclusion

In this lesson, we bridged the gap between a finished financial model and a successful stakeholder meeting. You've learned to use AI as a versatile partner to both deepen your analysis and sharpen your communication.

Key Takeaways:

  • AI as a Sounding Board: Use persona-based prompts to have the AI act as your audience, helping you anticipate questions and refine your narrative.
  • Structure Your Scenarios: Clearly define the variables and assumptions for each scenario to get a meaningful comparative analysis from the AI.
  • Integrate AI into Your Workflow: Leverage tools like the Gemini side panel in Gmail to quickly draft professional communications based on your analysis.
  • From Data to Narrative: The goal of meeting preparation is not just to present data, but to tell a story. AI can help you frame that story by exploring different scenarios and tailoring your message.

This lesson concludes our module on enhancing your corporate finance workflow. You now have a powerful set of techniques to use AI for everything from debugging formulas to preparing for board-level discussions.

Next Up:
In our next module, "The Strategic AI Toolkit: Free and Specialized Tools," we will broaden our perspective. You'll learn to identify and compare the strengths of major free AI tools (like ChatGPT, Claude, and Perplexity) against Gemini Pro, helping you build a versatile and cost-effective AI toolkit.