Build a Custom Cash Flow Dashboard Using AI in Minutes
Turn a plain-English description of your Cash Flow Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building a Cash Flow Dashboard
Receipts and payments scheduled to when cash will actually move, based on how your customers really pay.
Behaviour Based Receipt Timing
Expected receipts use how each customer actually pays rather than agreed terms, which is the difference between a forecast and a wish.
Rolling Weekly Horizon
The forecast rebuilds itself each week across a 13 week window, so the low point ahead is always visible rather than recalculated occasionally.
Threshold Warnings
Weeks where cash falls below your minimum are flagged, giving weeks of notice to arrange collection, delay or facility drawdown.
Scenario Modelling
The impact of late payment, revenue shortfall or new cost is calculated on the same forecast, so decisions are tested before being taken.
Operating Cash Separated
Trading cash flow is distinguished from financing and investing movement, showing whether the business itself generates cash.
Multi Account Consolidation
Balances across accounts, entities and currencies are combined, producing a single liquidity position rather than several partial views.
Cash Flow Dashboard Use Cases You Can Build in Minutes
See the Tight Week before It Arrives
Opening balance, expected receipts by due date, scheduled payments including payroll, tax and suppliers, and closing balance for each of thirteen weeks, with any week falling below your minimum threshold highlighted.
window.awbMockup = { rollingCashForecast: "Build a 13 week rolling cash flow dashboard showing opening balance, expected receipts from invoices by due date, scheduled payments including payroll, tax and suppliers, and closing balance per week, highlighting any week where the balance falls below a minimum threshold you set.", receivablesTiming: "Build a cash collection dashboard showing invoices outstanding by due date and customer, expected receipt dates adjusted for each customer's actual payment behaviour rather than terms, total overdue by ageing band, days sales outstanding trend, and the cash unlocked by collecting the largest overdue accounts.", cashMovementAnalysis: "Build a cash movement dashboard showing actual cash in and out by category per month over 12 months, net movement and closing balance, operating cash flow separated from financing and investing activity, the categories where outflows grew fastest, and seasonality across the year.", liquidityScenario: "Build a cash scenario dashboard modelling the effect on the 13 week forecast of a large customer paying 30 days late, a revenue decline of 20 percent, a delayed supplier payment run, or a planned hire, showing the resulting low point in each scenario and how many weeks of cover remain."};
Time Receipts to How Customers Actually Pay
Invoices outstanding by due date and customer with expected receipt dates adjusted for each customer's real payment behaviour, total overdue by ageing band, days sales outstanding trend and the cash in your largest overdue accounts.
window.awbMockup = { rollingCashForecast: "Build a 13 week rolling cash flow dashboard showing opening balance, expected receipts from invoices by due date, scheduled payments including payroll, tax and suppliers, and closing balance per week, highlighting any week where the balance falls below a minimum threshold you set.", receivablesTiming: "Build a cash collection dashboard showing invoices outstanding by due date and customer, expected receipt dates adjusted for each customer's actual payment behaviour rather than terms, total overdue by ageing band, days sales outstanding trend, and the cash unlocked by collecting the largest overdue accounts.", cashMovementAnalysis: "Build a cash movement dashboard showing actual cash in and out by category per month over 12 months, net movement and closing balance, operating cash flow separated from financing and investing activity, the categories where outflows grew fastest, and seasonality across the year.", liquidityScenario: "Build a cash scenario dashboard modelling the effect on the 13 week forecast of a large customer paying 30 days late, a revenue decline of 20 percent, a delayed supplier payment run, or a planned hire, showing the resulting low point in each scenario and how many weeks of cover remain."};
Understand Where the Cash Went
Actual cash in and out by category per month over twelve months, net movement and closing balance, operating cash flow separated from financing and investing activity and the outflows growing fastest.
window.awbMockup = { rollingCashForecast: "Build a 13 week rolling cash flow dashboard showing opening balance, expected receipts from invoices by due date, scheduled payments including payroll, tax and suppliers, and closing balance per week, highlighting any week where the balance falls below a minimum threshold you set.", receivablesTiming: "Build a cash collection dashboard showing invoices outstanding by due date and customer, expected receipt dates adjusted for each customer's actual payment behaviour rather than terms, total overdue by ageing band, days sales outstanding trend, and the cash unlocked by collecting the largest overdue accounts.", cashMovementAnalysis: "Build a cash movement dashboard showing actual cash in and out by category per month over 12 months, net movement and closing balance, operating cash flow separated from financing and investing activity, the categories where outflows grew fastest, and seasonality across the year.", liquidityScenario: "Build a cash scenario dashboard modelling the effect on the 13 week forecast of a large customer paying 30 days late, a revenue decline of 20 percent, a delayed supplier payment run, or a planned hire, showing the resulting low point in each scenario and how many weeks of cover remain."};
Model the Thing You Are Worried About
The effect on your thirteen week forecast of a large customer paying thirty days late, a revenue decline, a delayed supplier run or a planned hire, showing the resulting low point and weeks of cover remaining.
Model the Thing You Are Worried About
The effect on your thirteen week forecast of a large customer paying thirty days late, a revenue decline, a delayed supplier run or a planned hire, showing the resulting low point and weeks of cover remaining.
Build a custom cash flow dashboard in 4 simple steps
See cash in, cash out and what the balance looks like over the next 13 weeks, so liquidity is managed on a forecast rather than on the current bank balance.
Start with the view you need, whether that is a weekly rolling forecast, monthly movement by category or a daily position for a tight period. Emergent builds the timing logic around your payment terms and cycles.
Link bank feeds, invoices issued with their due dates, supplier payables, payroll dates and recurring costs. Emergent schedules each item to when cash actually moves rather than when it was recognised, which is what makes a forecast usable.
Ask to alter payment behaviour assumptions, add a recurring cost, extend the horizon or model a new scenario, and the forecast rebuilds. Cash planning adapts without a new spreadsheet.
Publish one link where finance works with the detail and leadership sees the position and runway. Cash decisions happen on a shared forecast instead of on differing assumptions about when money arrives.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
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