YesAutomate

FINANCE AUTOMATION

Finance Processes Worth Automating: Where Should You Start?

Explore the finance processes that are often strong automation candidates, from data entry and AP to reconciliation, reporting and document workflows.

2 min read
LinkedIn
In this article
  1. Introduction
  2. 1. Data entry and data movement
  3. 2. Accounts payable
  4. 3. Reconciliation
  5. 4. Reporting and MIS
  6. 5. Document and email workflows
  7. How to choose your first process
  8. Conclusion

Introduction

Not every finance process should be automated, and not every process needs the same type of technology. The best starting point is usually work that is repetitive, rules-driven, high-volume, digitally available and measurable.

Instead of asking which process is most fashionable to automate, finance leaders should ask where their teams are repeatedly spending time on work that follows a predictable pattern.

1. Data entry and data movement

Finance teams often move information from emails, spreadsheets, PDFs, portals and one business system into another. The work may be simple, but repetition creates delays and opportunities for copy-paste errors.

Automation can capture information, transform it into the required format and enter it into the target system while applying basic validations.

2. Accounts payable

Invoice processing is a natural automation candidate when invoices arrive in predictable digital channels and the business has defined validation rules. A workflow can collect invoices, extract supplier and invoice information, check the vendor master, match purchase orders and goods receipts where applicable, identify duplicates and route exceptions for review.

The objective is not simply faster data entry. It is a controlled workflow from invoice receipt through approval and ERP posting.

3. Reconciliation

Reconciliation involves matching information from two or more sources and investigating differences. That makes it particularly suitable for automation when matching rules can be defined.

Automation can collect source data, standardise formats, apply matching logic, identify exceptions and prepare an exception list for the finance team. The people remain focused on the items that actually need investigation.

4. Reporting and MIS

Recurring reporting often involves downloading reports, combining files, cleaning data, applying formulas, creating charts, formatting outputs and distributing the final report.

A reporting workflow can automate much of this preparation. The finance team can then spend more time understanding what the numbers mean rather than assembling them.

5. Document and email workflows

Finance processes frequently begin with an email or document. Attachments may need to be downloaded, information extracted, files renamed or categorised, and the result routed to another system or team.

RPA and Document AI can work together here: one handles the workflow around the document while the other interprets the information inside it.

How to choose your first process

Look for five characteristics: repetition, volume, defined rules, digital inputs and a measurable outcome. Also consider exception rates and the availability of a stable target system.

A process with many exceptions may still be worth automating, but it may need a blended workflow in which technology handles the routine path and people handle exceptions.

Conclusion

The best first automation is rarely the most complicated one. It is the process where the business can clearly see the current effort, define the rules and measure the difference after automation.

Start with one workflow, prove the value, and use what you learn to decide what comes next.

READY TO AUTOMATE?

Have a process worth improving?

Tell us what's slowing your team down. We'll help you explore where automation, AI or technology can create meaningful value.

Talk to an Automation Expert