Finance
AI use cases for Finance
Close faster and explain the numbers — commentary, categorization, and scenarios you can trust.
5 use cases
Reconcile accounts faster at close
Use an agentic tool to match transactions, surface only the real exceptions, and draft reconciliation write-ups every close cycle, so your team shrinks a multi-day chore into a few reviewed hours.
Expense categorization and anomaly flags
Build an owned script that reads your card and expense exports, assigns a GL category to each line with a confidence score, and flags the odd ones (duplicates, out-of-policy amounts, unusual vendors) for a human to check.
Month-end variance commentary and board-pack drafts
Turn your closed actuals into a first-draft variance narrative and board-pack pages your team owns and edits, instead of writing every line from a blank page each month.
Draft and review journal entries
An AI agent drafts recurring and adjusting journal entries from your source data and prior periods, attaches the support, and flags anomalies for a human to approve, cutting the manual grind out of month-end close.
Financial scenario and model building
Build and re-run driver-based financial scenarios — base, upside, downside, stress — in code your team owns, so a forecast refresh takes hours instead of days and every number traces back to a documented assumption.
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