Accuracy in accounting is not a score, it is a chain of custody. Sebastian cites the policy it applied, shows the evidence it used, and refuses to act where a person has not approved, leaving a trace that holds up to the review it will eventually face.
Generic automation breaks on anything fuzzy, and black-box AI cannot be shown to an auditor. Sebastian splits the work in two, and tells you which half you are looking at.
Same answer every time.
Rule-bound work runs as a rule. A three-way match, a subledger tie-out, or a revenue schedule off a signed contract gives the same answer on every run, because a controller would not accept anything less.
Judgment, with the confidence shown.
Some work needs reading rather than rules. A messy bank description or an accrual with thin support arrives with a confidence score attached, so you know how far to trust it before you approve it.
An entry is only reviewable if you can see why it was made. Sebastian applies your policies, among them capitalization thresholds, materiality limits, revenue recognition treatment, and approval chains, then names the specific one behind each proposal, so you are checking a decision rather than reverse-engineering it.
Capitalize $18,400 to fixed assets rather than expense
Nothing posts until a reviewer approves it.
what the agent cited
A draft that cannot be checked is not finished work. Every proposed entry carries the calculation that produced it, the source records behind it, and a confidence score wherever judgment was involved. The source is versioned as it is used, with its parameters, control totals, and row counts, so the data in front of you later is provably the data the work was done on.
Unify accounting data with FP&A to drive your business.
Every entry stops for approval, so you see the proposed action and its evidence before anything happens, and an approved draft lands in pending review rather than posting itself. Draft, pending review, approved, and rejected are explicit states, which means nothing happens that a person did not want and could not check.
Each customer’s finance data is isolated, with row-level protection on private records.
schema boundaryA defined inventory of sensitive fields is held under workspace-specific encryption, not a blanket claim over every finance column.
defined scopePreparer and reviewer are kept separate by the system, and closed periods lock.
enforcedAI for accounting and FP&A on the ledger you already run. No migration. No rip and replace.