Representative example. A finance team whose month-end reconciliation meant pulling data from several systems and matching it by hand — days of senior finance time every cycle, always under deadline pressure.
Month-end reconciliation meant pulling data from several systems and matching it by hand — days of senior finance time every cycle, under deadline pressure.
The finance team worked with RPAverse to take the manual matching out of month-end. We scoped the reconciliation process and shipped automation live in five weeks.
The bot does the pulling and matching; the team reviews what's left.
The pilot focused on the month-end reconciliation process, handing back only the exceptions:
Transactions are gathered automatically from each of the relevant systems.
The bot matches transactions across systems using the team's existing rules.
Confirmed matches are posted without manual keying.
Only the items that don't match are surfaced for a person to review.
What used to take days becomes a short check of the exceptions.
Delivered as a five-week pilot on one process, ready to scale.
Reconciliation is mostly rules with a few real judgment calls — a good fit for RPA plus a human on the exceptions:
Figures are approximate and representative of this type of engagement, not an audited result for a specific named client:
Reconciliation cut from ~3 days to under half a day
~20 hours/month of senior finance time freed
Near-zero matching errors
Live in 5 weeks
Book your free automation assessment — we put real numbers on the time and cost one of your processes is wasting, and your first automation can be live in 5 weeks.