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Constancia, an EPM consultancy and official Abacum (FP&A software) partner, reads your drivers, your actuals feed and your hierarchies before the layer is switched on. A person in finance signs what it produces.



Abacum Intelligence is the AI layer of Abacum (FP&A software). It forecasts, classifies, flags anomalies and branches scenarios from the planning model a finance team already runs. Constancia, an EPM consultancy, switches it on for finance teams whose board has asked for AI by a date.
Abacum Intelligence covers 7 jobs, from cleaning the data and spotting anomalies to building scenarios and running the forecast. Each one reads the drivers, the actuals and the hierarchies already in the model.
The layer takes the manual work out of keeping a model trustworthy and current. It works hardest where the drivers have owners and the actuals tie to the ledger, which is what the survey settles before the layer goes on.
Where the headcount plan in the model and HR's payroll file disagree on 12 roles, the layer's forecast carries the 12 with full confidence. The FP&A manager then explains a salary line nobody can trace.
Each output records the drivers it read, so the analyst who signs it can answer for it in the board meeting.
The layer rolls the forecast forward from the drivers in the model, and the analyst reads it against last month's actuals before it goes anywhere.
A cost line that moves outside its usual range is flagged the day the actuals load, for a person to judge.
Actuals arriving under a department the plan does not know are classified to the plan's hierarchy, with the mapping kept for the auditor.
The layer builds a scenario branch from the driver changes the analyst names, and the base version stays untouched.
The layer works back from a board target to the driver values that reach it, and the analyst judges whether sales will own them.
The forecast is the output most teams switch on first, and the anomaly flags are the one they keep.
The 4 checks come out of the survey, and the consultants who made them switch the layer on.
Headcount belongs to HR, pipeline to sales and volume to operations, and each owner has agreed to stand behind the figure.
The connector runs on a schedule and the loaded balances tie to the trial balance, so the layer learns from consistent figures.
Entities, accounts and departments in the plan are the ones the group result uses, so a forecast by entity can be checked against the close.
1 analyst in finance signs each output that reaches a board paper, and the model records the drivers it used.
Where a check fails, the fix goes into the fixed price before the layer goes live, and the survey names who owns it.
The consolidation stays in the close, because Abacum plans and the consolidation stays where it already runs. The group result the forecast is measured against comes from there, and the layer reads it as a fact.
The choice between 2 gross margin definitions stays with the finance director. The model then carries the 1 chosen definition under that name, and the layer forecasts that 1.
The signature stays with an analyst, whose name sits on the board paper. The model keeps the drivers behind each figure, so the analyst can answer for it.
The layer is the last piece switched on, because it reads everything the other 2 pieces of work put in place.
The 5 stages from the survey of the workbook to the handover, with the price fixed after the second.
Read about implementationThe actuals feed the layer learns from, tested against what NetSuite releases.
Read about the connectorsThe same layer described without the platform, and what a planning model has to hold to carry it.
Read about AI for FP&AA group on OneStream (EPM software) reads the SensibleAI page instead, because the layer there reads the consolidated model.
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