AI-assisted journal entries

What it does

When you start a new journal in General Ledger, the AI looks at:

• Your historical journals with similar descriptions or amounts.
• The current period context (open POs, accrual patterns, prior-month reversals).

…and proposes lines, accounts, descriptions, and supporting narrative for the entry. You accept, edit, or reject — nothing posts on its own.

Why it matters

Recurring entries (accruals, allocations, intercompany, prepaid amortizations) consume disproportionate close-week effort. AI suggestion compresses the typing-and-lookup work. Coupled with GenAI-drafted descriptions, narrative quality also goes up — useful for both auditors and successors.

What changes for the GL accountant

• Less time keying GL strings and pulling prior journals as templates.
• More time on review judgment: does this allocation key still reflect the business?
• Cleaner narrative on every entry — auditors stop asking "what was this for?"

Guardrails for SOX-controlled environments

• AI-suggested entries should be flagged in the audit trail.
• Approval thresholds for AI-suggested vs. manual entries should match (or be tighter).
• Periodic accuracy review: sample N AI suggestions/quarter, confirm they would have been the right entry.