Account Reconciliation

AI helps finance teams match accounting transactions, isolate unmatched items, and speed up reconciliation work.

Business impact

• Average matching level — Glencore’s case study reports an average matching level of 95%.

Data requirements

• Accounting transactions (tabular) — The matching engine compares accounting transaction records.
• Intercompany reconciliation data (tabular) — The Glencore case study places the system in intercompany reconciliation.

AI methods and techniques

• Machine learning matching — Used to group comparable accounting transactions and identify likely matches.
• AI agents — Deployed for finance reconciliations and accounting journal entries in the Dell case.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Dell, Glencore.