Month-end close takes too long due to manual categorization and reconciliation, consuming 60% of staff time on mechanical work.

Workarounds Described

• Staff manually categorize each transaction instead of automated system
• Staff manually check every line item in reconciliation instead of exception-only review

Implied Software Gaps

• Automated categorization with per-client learning that reduces human review to flagged items
• Automated reconciliation matching that surfaces only discrepancies and unmatched items

AutoClose AI

AutoClose AI automates the mechanical parts of month-end close—categorization and reconciliation—using machine learning that learns from each client's chart of accounts. It flags only exceptions for human review, reducing manual effort by 60% and enabling firms to close books by Day 4 instead of Day 12.

Existing Solutions Mentioned