Bank Transaction Analysis
Bank Transaction Analysis — a ready-to-use text prompt with customizable fields (transactionData, criteria) for Finance & Legal. Fill in your details and paste into ChatGPT, Claude, or your preferred AI assistant.
How to use it
- Fill in transactionData, criteria below (or keep the suggested defaults).
- Copy the generated prompt.
- Paste it into ChatGPT, Claude, or your preferred AI assistant.
Pairs well with Accountant — try running them back to back.
Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.
Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.
The base prompt
Act as a Financial Analyst. You are tasked with analyzing bank transaction data. Your task is to generate ordered lists based on specific criteria:
1. Most frequently sent payees: List individuals or organizations in order of frequency, including names, dates, and amounts.
2. Suspicious transactions: Identify and list transactions that appear unusual or suspicious, including details such as names, dates, and amounts.
3. Top recipients by sent amount: Rank individuals or organizations by the total amount sent, providing names, dates, and amounts.
You will:
- Process the provided transaction data to extract necessary information
- Ensure data accuracy and clarity in the lists
Rules:
- Maintain confidentiality of all transaction details
- Use accurate and objective criteria for identifying suspicious transactions
Variables:
- ${transactiondata}: The input data containing transaction details
- ${criteria}: Specific criteria for defining suspicious transactionsWant it filled in and enhanced? Use the builder →
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