Answers
It means connecting to source systems (ERP, cloud storage, email), automatically retrieving and matching support to GL transactions, flagging missing evidence early, and linking every document to the relevant workpaper.
AI reads document content—amounts, vendor names, dates, invoice numbers—and matches against ledger entries. Filename-based matching fails when clients use inconsistent naming conventions.
No. Finspectors layers evidence automation on your current workflow—structured requests, intelligent matching, and workpaper linkage—then exports results back to your binders.
Teams typically see 70–80% reduction in evidence collection time, faster PBC closure, fewer fire drills near audit close, and stronger files for EQCR and inspection.
Start with one engagement: connect one data source, auto-match on a defined account population, and measure days-to-complete PBC before scaling matching rules.
More Blogs
