Browse Problems

Reconcile Stripe payouts with bank deposits when timing doesn't match

Stripe payouts take 2-7 days to hit the bank, and the amounts don't always match due to fees, refunds, or disputes. Need to match 'Stripe says $5,432 on Monday' with 'Bank shows $5,380 on Wednesday' and explain the difference.

Extract structured invoice data from PDF invoices with inconsistent formats

Vendors send invoices in wildly different PDF formats. Need to extract: invoice number, date, total, line items, tax - even when the PDF is a scanned image or has weird layouts. Generic OCR isn't enough; need structured extraction.

Generate cash flow forecasts that account for SaaS-specific payment timing

SaaS cash flow is weird: annual plans paid upfront, monthly MRR, failed payments, dunning delays. Need forecasts that understand 'customer paid annually in January, so no revenue in Feb-Dec' vs 'monthly customer churned, so revenue stops immediately'.

Detect anomalous refund patterns that indicate fraud or abuse

When refund rates spike for specific products or customer segments, need to identify the pattern before it becomes a chargeback problem. Looking for prompts that can spot 'refund within 24 hours of purchase' or 'same customer, different cards' patterns.

Categorize expenses with correct IRS tax codes for quarterly filing

Need to auto-categorize business expenses from bank statements into IRS Schedule C categories (advertising, office supplies, travel, etc.) with the correct line numbers. Generic 'expense categorization' isn't enough - need the actual tax form line references.

Prevent hallucinated financial totals when summarizing Stripe exports

When generating monthly revenue summaries from Stripe CSV exports, the AI often invents totals that don't match the actual data. Need a prompt that forces exact arithmetic verification and flags any discrepancies before presenting the summary.

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