Machine-learned forecasts
Models trained on your own history: seasonality, trends, one-offs and the links between accounts. Each forecast shows its range, not just one number.

Plan learns from your actuals to forecast what comes next, builds your driver-based budget for you, and lets you test any scenario in minutes. It connects to your ERP, so the plan and the books never drift apart.
Use one part or all of it. Many teams start with a rolling forecast and move their budget over the next cycle.
Models trained on your own history: seasonality, trends, one-offs and the links between accounts. Each forecast shows its range, not just one number.
Switch on a 12 or 18 month rolling forecast from the first month. It moves forward as each period closes, with no rebuild.
Top-down targets, bottom-up input from budget holders, or both. Versions, comments and approvals stay in one place, not in email.
Copy the base case, change a few assumptions and compare. Price, volume, hiring, FX and financing scenarios side by side.
Plan finds the drivers behind your numbers and builds the model for you. You set the assumptions; it does the arithmetic.
Actuals against budget and forecast each month, with the main movements explained in plain words and ready for the pack.
Plan links your forecast to the market indicators that move your business, such as interest rates, inflation, FX or a sector index, and shows how a change would flow through to your numbers.
Allocate shared costs and revenue across entities, departments, products and customers with rules you can read, then see profitability by each. Every allocation keeps its trail back to the source.
Every scenario starts from the same machine-learned base, so the differences you see come from your assumptions, not from broken links in a spreadsheet.
FY 2026 · Group
Example company, € millions
Example figures · Assumptions set by your team
Building a driver model by hand takes weeks and usually lives in one person’s spreadsheet. Plan builds the first version for you from what it already knows about your company.
Two or more years of actuals from your ERP, by account, department and month, plus payroll and any operational data you share.
It tests which measures explain each line, such as orders, prices, headcount, square metres or customers, and keeps the ones that hold up. It also tests market indicators, such as interest rates or a sector index, and keeps the ones that lead your numbers.
Revenue, costs, working capital and cash, linked through the drivers and laid out on your own chart of accounts.
Your team reviews each driver, changes what it knows better and locks the budget. Every change is logged.
Example model for a wholesale business
Bring two years of trial balances. We’ll show you the drivers we find and a first rolling forecast.
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