Numbers you can verify
Calculations should be reproducible and separated from AI-generated explanations.

AI software to amplify your FP&A team. We are building this vision with people who do the work.
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We want your analysts to delegate consolidation, investigation and analysis preparation — and focus their time on the decisions that matter.
A possible workflow: your analyst sets the question, the software prepares the investigation, and your team decides what happens next.
Illustrative example · synthetic data · planned capabilities
Investigate the increase in October technology expenses.
The example reconciles actuals and budget, separates confirmed evidence from open questions, and prepares a question for the cost center owner.
| Expense | Budget | Actual | Variance |
|---|---|---|---|
| Software licenses | 80,000 | 98,000 | +18,000 |
| Cloud services | 40,000 | 46,000 | +6,000 |
| Total · BRL | 120,000 | 144,000 | +24,000 |
Source: synthetic October ledger and budget spreadsheet. The arithmetic is consistent; the cause of the cloud variance remains unconfirmed.
Draft question for the Technology owner:
Is the BRL 6,000 increase in cloud costs recurring or one-off? Which usage or contract change explains it?
Forecast changes remain proposals until reviewed by your team.
Review simulated. No message was sent and no forecast was changed.
Processes we want to help your team delegate. We are researching and developing these workflows with finance professionals.
Bring together ERP, spreadsheet and database inputs, reconcile totals and surface inconsistencies before analysis.
Calculate monthly variances and assemble the underlying records so your analyst can investigate what changed.
Prepare questions, organize responses and track missing explanations with the responsible people.
Turn reviewed explanations into proposed forecast changes, with assumptions and supporting evidence.
Prepare report drafts, presentation outlines and executive summaries from reviewed data.
Keep the source, calculation, explanation and outstanding questions connected throughout the work.
Calculations should be reproducible and separated from AI-generated explanations.
Each conclusion should point to its source and make uncertainty visible.
Your team reviews proposed communications, assumptions and forecast changes.
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