Finance Prompts That Work: 10 AI Commands to Streamline Analysis, Excel, and Investing

If you're a financial analyst, your day is probably a blur of spreadsheets, data pulls, and report writing. What if you could hand off half of that to an AI? With the right prompts, you can turn tools like ASI Biont into a junior analyst that works 24/7—no coffee breaks, no excuses. This guide gives you 10 battle-tested prompts for financial analysis, from Excel cleanup to investment strategy, with real-world examples and practical tips.

But first, a word on trust: AI is a powerful assistant, but it's not a replacement for your judgment. Always verify outputs, especially for regulatory filings or investment decisions. Use the prompts as a starting point, not the final word.

1. Excel Formula Translator

Task: Convert a plain-English description of a calculation into a working Excel formula, with an explanation of how it works.

Prompt:

You are an Excel expert. Translate this business rule into an Excel formula and explain each part:
"Calculate the compound annual growth rate (CAGR) of revenue from 2021 to 2025, where 2021 revenue is in cell B2 and 2025 revenue is in cell F2."
Return the formula, a plain-English breakdown, and any assumptions.

Example output:
- Formula: =(F2/B2)^(1/4)-1
- Explanation: The ratio of ending to beginning value raised to the power of 1 over the number of periods, minus 1.
- Assumptions: Yearly compounding, no interim cash flows.

2. Financial Report Summarizer

Task: Summarize a lengthy 10-K or quarterly earnings transcript into key metrics and risks.

Prompt:

You are a financial analyst. Summarize the attached 10-K filing for a retail company. Extract:
- Revenue, net income, and EPS for the last 3 years
- Key growth drivers
- Major risks mentioned in the MD&A section
- Any changes in accounting policies
Present in a table with a short narrative for each section.

Example use: Paste the text of a 10-K (or a link if the tool supports it) and get a structured summary that saves hours of reading.

Note: For accurate extraction, ensure the model can access the document (e.g., via file upload or web search).

3. Excel Data Cleanup Planner

Task: Generate a step-by-step plan to clean a messy dataset in Excel, including formulas or Power Query steps.

Prompt:

I have a CSV file with 10,000 rows of sales data. Columns: Date (mixed formats), Amount (some negative values), Region (with typos), Product_ID (some duplicates). Suggest a step-by-step plan to clean it in Excel, using formulas and Power Query. Provide specific functions like TRIM, TEXT, and VLOOKUP.

Example output: A list of steps: 1) Use Power Query to standardize dates, 2) Use IF to flag negative amounts, 3) Use TRIM and PROPER for region names, 4) Use Remove Duplicates on Product_ID.

4. Investment Thesis Drafter

Task: Draft an investment thesis for a stock based on provided financial data and market context.

Prompt:

Act as a value investor. Write a one-page investment thesis for Apple Inc. (ticker: AAPL) based on the following data: revenue growth 5%, P/E ratio 28, strong cash flow, and risks from supply chain. Include a bull case, bear case, and a recommendation with a target price range.

Example use: Feed in your own data points (or let the AI search for current data if allowed) to get a structured thesis you can refine.

5. Budget vs. Actual Variance Analyzer

Task: Explain the variance between budgeted and actual figures, and suggest areas to investigate.

Prompt:

Here is a table of budget vs. actual for Q3 2026:

| Item | Budget | Actual |
|------|--------|--------|
| Revenue | 500k | 540k |
| COGS | 200k | 220k |
| Marketing | 50k | 80k |
| R&D | 100k | 95k |

Calculate the variance (absolute and percentage) for each line. Identify the most significant deviation and propose three possible reasons, based on common business scenarios.

Example output: A table with variances, and a note that marketing overspend is the biggest deviation, possibly due to a campaign or higher ad costs.

6. DCF Model Builder

Task: Create a simplified discounted cash flow (DCF) model in Excel with given assumptions.

Prompt:

Build a 5-year DCF model for a software company with the following assumptions: current revenue $100M, growth rate 15% declining to 5% over 5 years, operating margin 20%, tax rate 21%, WACC 10%, terminal growth rate 3%. Output the free cash flow projections and the enterprise value. Include formulas and a sensitivity table for WACC and terminal growth.

Example output: A step-by-step model you can copy into Excel, with formulas like =B2*(1+growth) and a data table for sensitivity.

7. Financial Ratio Explaner

Task: Explain a set of financial ratios and what they indicate about a company's performance.

Prompt:

For a company with the following ratios: current ratio 1.5, debt-to-equity 0.8, ROE 15%, gross margin 40%, and inventory turnover 6x. Explain what each ratio means, the industry average (if known), and whether the company is performing well. Use a table format.

Example use: Great for quickly understanding a company's health before a meeting.

8. Risk Assessment Matrix Generator

Task: Generate a risk matrix for a project or investment, with likelihood and impact ratings.

Prompt:

Create a risk assessment matrix for a fintech startup launching a new mobile app. Identify 5 key risks (e.g., regulatory, cybersecurity, market adoption). For each, rate likelihood (Low/Medium/High) and impact (Low/Medium/High), and suggest a mitigation strategy. Present as a table.

Example output: A table with risk, likelihood, impact, and mitigation, helping you prioritize.

9. Portfolio Rebalancing Advisor

Task: Suggest a rebalancing plan for an investment portfolio based on target allocation and current holdings.

Prompt:

I have a portfolio with the following current allocations: US stocks 50%, international stocks 20%, bonds 25%, cash 5%. My target is 60/20/15/5. Suggest trades to rebalance, considering tax implications (assume a taxable account). Provide a step-by-step plan.

Example output: Sell some US stocks, buy bonds, etc., with notes on tax efficiency.

10. Report Auto-Generator

Task: Generate a monthly financial report in a narrative format, given the numbers.

Prompt:

Write a monthly financial report for a SaaS company. Use the following data: MRR $250k (up 5% MoM), churn 3%, CAC $500, LTV $1500, net burn $20k. Structure: Executive Summary, Key Metrics, Highlights, Challenges, Next Month's Focus. Use a professional tone.

Example output: A ready-to-use report that you can customize.

Putting It All Together

These prompts are meant to be adapted. Start with the exact text, then tweak the variables to fit your data. The key is to be specific: the more context you give, the better the output. Always cross-check critical numbers with your own analysis.

Try one prompt today—maybe the Excel formula translator—and see how much time it saves. Then explore ASI Biont's capabilities to build your own financial workflow. The future of financial analysis isn't about replacing analysts; it's about giving them superpowers.

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