BALANCECHEAT / AI Cash Flow Forecast
Ask why profit has not become cash.
Connect your AI to the existing cash flow forecast to examine collections, inventory, supplier payments, investment and financing. Review the assumptions that cause a cash movement.
Your model · Your AI · You stay in control
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Open the full financial model →Continue with your AI in the full model
This is a focused preview with sample data. Open the full financial model, choose AI, and connect your own provider to analyze or edit your model. Your saved models are unchanged by this preview.
A useful starting prompt
Try this with your provider in the full model:
Inspect cash flow and working capital. Explain why cash changes, then compare a five-day slower collection assumption.
Explain the bridge from earnings to liquidity
AI adds value to cash planning by tracing a story across statements. Ask it to distinguish earnings changes, non-cash charges, working-capital movements, capex and financing. BalanceCheat calculates the bridge from the actual model inputs.
A DSO edit changes receivables and operating cash flow through the existing working-capital rules. A capex edit affects investment cash flow and the asset schedule. Review those source assumptions instead of approving every recalculated output.
Keep financing assumptions explicit
An apparently adequate ending cash balance can conceal a funding requirement. BalanceCheat models a hypothetical required revolver when its assumptions produce a shortfall. That modeled funding is not a lender commitment.
Ask your AI to identify the timing assumptions and explain sensitivity to slower receipts or earlier investment. Use the connected balance sheet to verify how the change is financed.
Bring Your Own AI
Connect a compatible AI client to work with a structured financial model. ChatGPT, Claude and Gemini offer external connections where their product, region and plan allow them. Your own API key remains an advanced option for chat inside BalanceCheat. BalanceCheat provides the calculation engine; your connected AI provides the intelligence.
Your financial model stays stored in your browser. When you use AI, your prompt and the requested model context are sent to your provider. The relay does not retain provider keys. External connections temporarily hold tool requests and results while your browser executes them.