five days to under two: a month-end close case study
an anonymized case study: a multi-entity services group cut its month-end close from 5 days to under 2 with ai-assisted reconciliation, a human signing off on every line.
this post. one anonymized result from a finance team we built for. a multi-entity professional-services group cut its month-end close from 5 days to under 2. an ai assistant matches the bank-to-ledger lines. a person still signs off before anything posts.
the buyer here is a financial controller at a multi-entity services group. two people ran the close. every month they spent the first 5 working days tying out bank statements against the ledger, entity by entity, before anyone could look at a variance. most of that time was matching lines by hand.
we shipped a reconciliation assistant that auto-matches about 90% of the bank-to-ledger lines and flags the rest for a human. the close now runs in under 2 days. nothing posts without sign-off, and the full audit trail is retained. this post shows what changed for the finance team, not how we wired it. the build maps to the reconciliation use-case at /ai-for/finance and the workflow-automation build at /platforms.
what actually changed for the two-person close team?
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