Many finance leaders believe their invoice processing is efficient. But in both in-house and outsourced accounting teams, it often stays manual and slow, and there's more room to improve than most expect.

Automating accounts payable cuts the time and cost of getting an invoice from receipt to payment. The gap between a manual process and an automated one is usually bigger than leaders assume, so it's worth measuring properly.

The real cost of manual invoice processing

Invoice processing means thousands of documents that each need coding, assigning to a project or department, approving and paying. Done by hand, that takes significant time, and in some organisations an invoice can take weeks to get from receipt to payment. That's where the biggest efficiency gains sit.

Why "already digital" isn't the same as efficient

Many executives believe their invoice processing is already automated. Going digital is an important step, but it isn't the end point. It's worth checking regularly whether there's more to gain, because for large organisations, invoice processing is still one of the clearest places to cut costs.

Six questions to test your process

A few simple questions show how much time and effort invoice processing really takes:

Do you have people dedicated to handling incoming invoices? How many, and how many invoices do they process?
Are invoices checked for accuracy by hand?
Are invoices coded by hand?
How are invoices sent for approval?
How do you make sure invoices are coded the same way every time?
Do you receive invoices as PDFs, paper or email, as well as e-invoices?

The answers show where the time goes, and where to start.

What automation changes

Automating the invoice workflow takes much of the manual effort out of AP. Data entry, validation and routing for approval happen automatically, so errors drop and invoices move faster. Your team spends less time processing and more time on analysis and planning.

Rules-based automation and AI

AP automation ranges from basic to advanced. Basic automation relies on fixed rules for repetitive tasks like data entry and approval routing. AI goes further, using machine learning to read, interpret and code invoices more accurately over time.

READ MORE: [AP automation: key terms you need to know [NEW LINK]]

What AI adds

Rules still have a place. Approval workflows, for example, work best when they follow your own rules. But AI handles the parts rules struggle with: reading every line of an invoice, validating it, matching it against purchase orders and suggesting the right coding. It learns from historical data, adapts when suppliers change their invoices, and gives finance the data to forecast spend. The result is more automation, better accuracy and more time for work that needs judgement.

Automating accounts payable: what it looks like in practice

Rydoo Accounts Payable is an AI-driven platform that automates supplier invoice processing from capture to posting. Its self-learning AI reads every line of every invoice, codes it and posts clean entries to your ERP, while finance reviews only the exceptions.

Rydoo AP automates over 40 million invoice lines a year, and customers reach around 90% automation within three months of go-live, according to our APA Findings Report (June 2026).

Book a demo to find out how efficient your invoice processing could be.