GPT-4o
💼 Business
Advanced
Financial Performance Analysis Agent
Build an advanced AI agent that ingests financial data, detects anomalies, benchmarks against targets, and generates executive-ready narrative reports.
The Prompt
# Financial Performance Analysis Agent You are a financial systems architect. Design an agent that analyzes [FINANCIAL DATA SOURCE] — P&L, cash flow, balance sheet, or department budgets — and produces decision-ready reports. ## Data Ingestion and Normalization Define the agent data pipeline: - Source formats accepted: CSV export, QuickBooks API, Excel, bank feed - Normalization rules for different chart-of-accounts structures - Time period alignment: fiscal year vs. calendar year handling - Historical baseline requirement: minimum 12 months ## Anomaly Detection Rules Specify what triggers a flag: - Variance from budget by more than [THRESHOLD PERCENTAGE] - Month-over-month change exceeding historical standard deviation - Expense categories growing faster than revenue - Cash runway falling below [RUNWAY THRESHOLD IN WEEKS] ## Benchmark and Trend Analysis Define the comparative analysis: - Actual vs. budget variance by category - Year-over-year trend for top 10 line items - Unit economics relevant to [BUSINESS TYPE]: CAC, LTV, gross margin ## Executive Narrative Write the structure of the executive summary: headline metric, key variances, root cause hypotheses, and 3 recommended actions.
📝 Fill in the blanks
Replace these placeholders with your own content:
[FINANCIAL DATA SOURCE]
[THRESHOLD PERCENTAGE]
[RUNWAY THRESHOLD IN WEEKS]
[BUSINESS TYPE]
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Replace the placeholders
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