Background
Finance operations were running on a heavy diet of manual processes — reconciliation, funder reporting, AP/AR, order processing. The team was capable but the work was eating capacity that should have gone to analysis.
Leadership wanted automation that would lift the manual burden without losing the human review where it mattered.
The task
Build an RPA system that automates the bottlenecks identified in the finance audit, integrates with existing accounting systems, and keeps human checkpoints where the risk is highest.
The solution
A discovery exercise mapped every finance process to time-cost and risk. The top automation candidates were chosen for round one.
RPA bots were built for funder reporting, bank reconciliation, customer order processing, and AP/AR. Each bot has a human checkpoint at the steps where misclassification would matter.
The team's time shifted from data shuffling to analysis. Reporting cycles tightened from days to hours.
Implementing an RPA system for comprehensive financial automation
Map workflows, identify automation candidates, design and build bots, integrate, supervise, iterate.
- 01
Map every finance workflow to time-cost and risk.
- 02
Build RPA bots for the highest-value candidates, with human checkpoints where risk demands it.
- 03
Run, supervise, iterate. Expand to round-two candidates as round-one stabilises.