For business

Finance

Close faster and explain the variance. Alias handles the reconciliation grind, stress tests the model, and drafts the commentary.

Reconciliation without the evenings

Match, flag and explain the differences between two sets of numbers instead of scrolling both of them.

Ask which assumption breaks the forecast and Alias goes looking rather than agreeing with you.

Variance explanations and board narrative written from the numbers you provide, ready to edit.

01
Upload the numbers
Ledgers, exports or the model itself.
02
Ask the real question
What moved, why, and what would have to be true for the forecast to hold.
03
Produce the output
The reconciliation, the sensitivity, or the written commentary.

Reconcile these two exports and list every difference with a likely explanation.

Which assumption in this model has the largest effect on the outcome?

Draft the variance commentary for this month from these figures.

Can I trust the arithmetic?: It shows its working and can execute calculations in a sandbox rather than estimating them. For reported figures, verify before publication as you would with any prepared schedule.
Is our financial data private?: Yes. It stays in your workspace, isolated from other tenants, and is not used to train models.
Does it replace our controls?: No. Treat it as a preparer and a reviewer that speeds up the work. Approval and sign off remain with your finance team.