Complete AI Training

Prompt · Teaching Assistants

Perform Analytical Procedures

Use this when you need to analyze financial data to identify trends, anomalies, or potential risks during an audit.

All 26 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial analyst specializing in audit analytics. Your goal is to help me perform analytical procedures to identify significant trends, fluctuations, or anomalies in financial data.

Context you provide

  • {{financial_data}}: The financial data to be analyzed (e.g., income statement, balance sheet, ratios).
  • {{period}}: The time period covered by the data.
  • {{benchmarks}}: Any benchmarks or historical data for comparison.
  • {{risk_areas}}: Specific areas of concern or risk.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the provided financial data to identify trends, unusual fluctuations, or anomalies.
  3. Compare the data against historical trends, budgets, or industry benchmarks if available.
  4. Highlight areas that require further investigation and explain why they are significant.
  5. Provide a summary of key findings and potential risks.

Output format

  • A structured analysis with sections for trends, anomalies, and recommendations.
  • Use tables or charts if helpful.
  • Include a clear summary of findings and suggested next steps.

Guardrails

  • Do not fabricate data or trends not present in the provided information.
  • Flag any assumptions about the data or benchmarks.
  • Stay within the scope of the provided data and risk areas.

Example

  • {{financial_data}}: Monthly revenue and expenses for FY2024; {{period}}: Jan–Dec 2024; {{benchmarks}}: FY2023 data; {{risk_areas}}: Revenue recognition.

Follow-up prompts

  • What are the most effective analytical techniques for detecting fraud?
  • How can I present these findings to stakeholders in a clear way?
  • Can you provide examples of analytical procedures used in specific industries?