Small business finance does not require a CFO. It requires clear numbers and the discipline to look at them regularly. AI helps you understand your numbers faster and make better decisions with them.
Most small business owners receive P&L statements and balance sheets from their bookkeeper but are not sure what to look for. AI can turn raw financial data into plain-English narrative in minutes.
Analyze this Profit & Loss statement and give me
a plain-English summary.
[PASTE YOUR P&L DATA]
Tell me:
1. What the numbers say about business health
2. The biggest positive trend and what is driving it
3. The biggest concern and what might be causing it
4. How gross margin compares to typical [industry] margins
5. Three specific questions I should ask my accountant
based on these numbers
Plain English. No accounting jargon. Specific, not vague.Help me build a simple cash flow projection.
Monthly revenue (typical): $[amount]
Monthly revenue (slow months): $[amount, which months]
Monthly fixed costs: [list: rent, utilities, payroll, etc.]
Variable costs (% of revenue): [percentage]
Upcoming large expenses: [list with amounts and dates]
Current cash balance: $[amount]
Payment terms from customers: [immediate / net 30 / etc.]
Create a 6-month cash flow projection and identify:
- Which months are likely to be tight
- Minimum cash balance I should maintain
- One recommendation to improve cash flow timingMany small businesses price based on gut feel or "what the market charges" rather than what the math actually supports. AI helps you model pricing scenarios quickly.
Help me analyze my pricing for [product/service].
Current price: $[amount]
Unit cost (materials + labor): $[amount]
Monthly volume: [units or customers]
Competitor pricing range: $[low] to $[high]
Target monthly profit: $[amount]
Analyze:
1. Current gross margin and how it compares to healthy
margins for this type of business
2. Break-even volume at current vs. higher prices
3. Revenue impact of a 10%, 15%, and 20% price increase
4. Whether a price increase is likely to cost more
customers than the revenue gain is worth