RPA in Finance & Accounting: Save 25,000+ Hours a Year (Enterprise Case Study 2026)

Gartner estimates RPA can save a finance team 25,000 hours of avoidable rework a year; Certas Energy processes invoices 93% faster. Where RPA pays.

Quick Answer

Robotic Process Automation (RPA) in finance and accounting takes rule-based rework off the team: Gartner estimates RPA can save a finance department with 40 full-time accounting staff about 25,000 hours a year of avoidable rework caused by human error. The clearest documented deployment is in invoice processing, where Certas Energy reports processing variable supplier invoices 93% faster.

  • Invoice processing: Certas Energy, a UK fuel distributor, paired OCR with an SS&C Blue Prism digital worker that matches invoices against goods-received notes, cutting the time per invoice from up to 30 minutes to about one minute.
  • Journal entries: high-volume, rule-based postings are a natural second candidate, because they bottleneck month-end close.
  • Late payments: automated reminders, approval routing and deadline tracking stop invoices from going stale in someone's inbox.

The Hidden Cost of Manual Finance Operations

According to Gartner, a finance department with 40 full-time accounting staff can lose 25,000 hours a year to avoidable rework caused by human errors (Gartner, October 2019). RPA (Robotic Process Automation) removes much of this waste.

Case Study #1: Certas Energy – 93% Faster Invoice Processing

Company Profile

Certas Energy is a major UK fuel distributor with a large volume of supplier invoices whose quantities vary slightly in transit.

The Challenge

Manual invoice processing was slow and error-prone. The accounts payable team spent excessive time on data entry, validation, and exception handling. Processing delays strained supplier relationships.

The RPA Solution

Certas combined OCR (Optical Character Recognition) with an SS&C Blue Prism digital worker that extracts invoice data, matches it against the goods-received note within the expected in-transit variance, and completes the reconciliation (SS&C Blue Prism case study).

Results

Metric Before RPA After RPA
Time per invoice Up to 30 minutes About 1 minute
Processing of variable, complex invoices Manual 93% faster

Other Finance Processes Where RPA Pays

Journal entries

Recurring entries built from source-system data are generated, validated and posted by rule, which takes the month-end bottleneck off the team. Exceptions go to a person with the context to resolve them.

Late vendor payments

A bot tracks due dates, sends reminders and escalations, routes approvals and processes approved payments on schedule, so late-payment penalties stop being a surprise.

Tax reconciliation

The bot gathers data from multiple systems, performs the calculations, flags discrepancies and drafts the reconciliation report for review.

Best Finance Processes for RPA Automation

High ROI Processes

  • ✓ Invoice processing (AP)
  • ✓ Payment reconciliation
  • ✓ Journal entries
  • ✓ Financial reporting
  • ✓ Tax compliance
  • ✓ Expense management

How to Measure the Gain

  • Minutes per invoice or entry, before and after
  • Exception rate and who handles exceptions
  • Days to close the month
  • Penalties and missed discounts

ROI Timeline: What to Expect

Typical RPA Finance Implementation

Week 1-4
Process analysis and bot development
Week 5-8
Testing and refinement
Week 9-12
Production deployment and monitoring
Month 3-6
Measured savings against the baseline begin

Industry Insight

"The best thing about robotic process automation is that you will see a return on investment almost right away. Considering the relatively easy setup - robots don't physically integrate with your information systems - it looks like low-hanging fruit." - Industry Expert

Why Finance Teams Love RPA

  • ✓
    Less Stressful Peak Periods: "We're trying to remove the peaks from employees. With robots, they have more normal work hours during month-end."
  • ✓
    Higher-Value Work: Staff spend less time fixing mistakes and more time on analysis and strategic tasks.
  • ✓
    Better Data Quality: Automated processes produce accurate, consistent data with full audit trails.
  • ✓
    Improved Compliance: Robots apply the same rules every time, reducing compliance risks.

Ready to Automate Your Finance Operations?

Get a free assessment of your finance processes and see how much time RPA could save your team

Request Free Process Assessment

Key statistics (2025)

88%of organizations using AI in at least one functionMcKinsey 2025
62%experimenting with AI agentsMcKinsey 2025
74%achieve ROI from AI in year oneArcade.dev 2025
64%say AI enables their innovationMcKinsey 2025
$150-200Bprojected enterprise AI market by 2030Glean 2025
30%productivity increase with workflow automationZapier 2025

Further reading

Frequently asked questions

AI Solutions14 min2025-12-03

Share this article

Mike Cecconello

Mike Cecconello

Founder, SUPALABS

Founder of SUPALABS, an embedded AI operator for European companies. Works inside client organisations to rebuild how work runs — designing and shipping production AI systems across finance, operations, HR and customer support, then handing ownership to the client's own team.

Experience

5+ years building AI and automation systems for European companies

Expertise
  • AI-Native Process Redesign
  • Production AI Systems
  • Embedded Delivery
  • Enterprise AI Strategy
Supalabs AI solutions