The challenge
Month-end close took 7 business days with 20 FTEs and deadlines were still missed. Intercompany reconciliations, AR cash application, and journal entries were the biggest bottlenecks, with no timely visibility into close status.
The approach
A 4-week process-engineering sprint identified 14 automation candidates and a target operating model. Over two quarters we delivered the automations alongside a Power BI close cockpit fed by a dbt-modeled warehouse.
The solution
UiPath bots for cash application, intercompany matching, bank reconciliation, and journal posting. A Snowflake data warehouse with dbt models. A Power BI close cockpit refreshed every 15 minutes. An observability dashboard for bot health, exceptions, and SLA status.
The outcome
The close dropped from 7 business days to 4.2. Intercompany mismatches in close week fell 68%. Freed-up FTEs moved into control and analytics roles. Leadership now sees close status refreshed every 15 minutes instead of finding out about problems on day six.
“We stopped debating close status and started closing faster.”
