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Calculate how long and how much your month-end close costs — then see how AI automation can cut close time by 50% and drastically reduce manual reconciliation.
Most mid-market companies take 6–10 business days to close their books each month. This includes journal entries, account reconciliations, intercompany eliminations, and management review. Larger organizations with complex structures can take 15–20 days. The biggest bottleneck is usually manual reconciliation, which can consume 30–50% of total close time.
AI finance agents automate the most time-intensive close tasks: matching transactions across systems, flagging reconciliation exceptions, auto-generating journal entries from recurring patterns, and preparing variance analyses. By eliminating manual data gathering and spreadsheet work, teams move from a sequential close to a parallel one — completing in 3–5 days what previously took 8–10.
Reconciliation often accounts for 30–50% of total close effort because it requires matching data across multiple systems — bank statements, subledgers, ERPs, and spreadsheets. Discrepancies must be investigated one by one, and many teams still rely on manual copy-paste between tools. AI reduces this by 70% through automated matching, exception surfacing, and audit-ready documentation.
A continuous close spreads month-end tasks across the entire month rather than cramming them into a 5–10 day window. AI enables this by automating daily reconciliations, real-time transaction categorization, and rolling journal entries. Instead of a frantic close period, the finance team reviews AI-prepared outputs throughout the month — reducing close-day effort to final review and sign-off.