Where AI is helping finance teams today, and where the ledger and controls should stay as they are.
Finance teams are using AI in a few specific areas: cash forecasting, preparing commentary for month-end close, and matching transactions during reconciliation.
Cash forecasting is a common starting point because the data already exists in the ERP and treasury system. AI can combine receivables, payables, and bank data to give treasury a better starting forecast to review.
For close, AI can draft variance explanations and flag unusual entries for review. The accounting system remains the system of record, and people still approve entries.
Controls matter. Any AI-assisted entry needs a clear record of its inputs and an approver, so that it holds up in an audit.
Many treasury management systems now include AI features. Part of the planning work is deciding which features to use from the TMS and which to build separately.
A good first project is small and measurable: one forecast, one reconciliation, or one report, with a finance owner and a clear before-and-after comparison.
