The Agent identifies patterns across the entire dataset, eliminating the sampling risk that hangs over selective review. Every transaction is read, classified, and either cleared or surfaced.
Simply upload your GL file. The Agent handles the rest, from parsing to classification to exception scoring.
The Agent evaluates journal entry behavior, posting patterns, cut-off timing, threshold deviations, duplicates, round numbers, high-risk account combinations, non-business-day postings, unusual vendor activity, and manual overrides.
All transactions are evaluated. Only structured exceptions are surfaced. You review. The Agent analyses.
Findings are grouped by category for efficient review. Each flagged item carries voucher reference, ledger account, date, amount, detection logic explanation, confidence score, and direct traceability to source.
Pre-configured filters. Same query every audit. No follow-up. No explanation.
The Agent responds with structured findings, not a chat answer.
