Prepare a supplied financial CSV for analysis. Review dates, currencies, missing values and duplicate rows before calculating totals.
Reliable analysis begins with consistent rows. A date ambiguity or a currency mixed into the same amount column can change totals. Keep the source file intact and agree on how ambiguous records will be handled before editing.
During a computer-enabled session, ask the chief to inspect column types and report anomalies. Produce a separate cleaned CSV and an audit note listing transformations, excluded records and unresolved questions. Python can help check row counts and totals.
Compare source and output record counts. Confirm that suspected duplicates were not silently removed and missing amounts were not replaced with invented values. Read a sample of transformed rows before using the cleaned file.
Inspect the finance CSV I supply. Keep the original unchanged, report missing values, date ambiguities and suspected duplicates, and ask before resolving uncertain records. Save a cleaned copy plus an audit note and verify both files.
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Start with the written draft described in the prompt. Ask for missing facts and review the result before requesting a saved file or further action.
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Give an AI finance chief your revenue, expenses and cash balance. Review runway, budget assumptions and saved financial reports using computer tools.
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Create scheduled routines for recurring research and report drafts. Assign a chief, define the output and review runs within your plan allowance.
Explore this workflow ↗Understand gross and net burn from monthly spending and revenue. Identify what drives cash usage using figures you supply.
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