Can AI Post Journal Entries? Where Agents Stop and Approval Starts

Description and use

AI drafts journal entry proposals and flags discrepancies, while human recorders and approvers handle posting and approval, maintaining audit trails and accountability.

Problem

Finance teams need to know who is accountable when a journal entry is wrong and how AI can assist without compromising control.

Outcome

AI enhances speed by drafting proposals and detecting errors, while human oversight ensures accountability and auditability of journal entries.

Workflow

• 1. AI agent reads bank and payment sources, ledger and open items after nightly close.
• 2. Agent compares data and flags differences such as unmatched receipts or unbalanced balances.
• 3. Agent drafts a proposal, labeling it as such and linking to source entries and documents.
• 4. Human recorder reviews the proposal, records the entry, and a separate approver approves it.
• 5. If a correction is needed, a reversing entry is posted, keeping the history intact.

Evidence

In Arfinex, AI agents read, compare, find differences and draft a proposal with its sources; one person records the entry, a different person approves it, and every figure comes from the ledger.

Source

Each finding comes with its evidence, its source and a confidence level, and fact is kept apart from inference.

Source

A posted entry is never edited. A correction arrives as a new reversing entry, so the history stays intact.

Source