Robotic Process Automation in Finance: Where to Start

Finance leaders pitched on RPA hear the same demo every time: invoice extraction. It is the wrong place to start in most mid-market firms. Our RPA practice deploys finance bots monthly, and the playbook below is what actually returns 6-9x in year one.

Start with these four processes

• Bank reconciliation: rules-based, high volume, hits month-end critical path. Typical payback: 6 weeks.
• AP three-way match for low-value, recurring vendors: 80% of invoice volume, 20% of value, zero judgment required.
• Intercompany journals: high frequency, high error cost, perfect for deterministic automation.
• Sales-order to invoice handoff between CRM and ERP: eliminates re-keying, accelerates DSO.

Do NOT start with these

• Anything involving judgment (credit decisions, dispute coding) - this is <a href="/intelligent-automation">intelligent automation</a> territory, not classic RPA.
• Processes that change quarterly - bots become maintenance debt.
• Reporting workflows where the underlying data quality is poor - automate the entry first.

The pilot sequence we run

Two-week process discovery (time-and-motion study + exception analysis), four-week build (one bot, one process), four-week parallel run with the human team. By week 10 you have a measured ROI, a runbook, and a backlog ranked by payback. From there, scale to a multi-bot operating model.

When to centralize in a CoE

Above 5 bots in production, you need governance: a bot inventory, change control, exception monitoring, and a citizen-developer policy. Our Automation Acceleration Center is the operating model we set up at that point. For broader finance redesign, pair RPA with finance transformation.