AI in Accounts Payable: Separating Hype from Reality

When you read about artificial intelligence (AI) revolutionizing the world, it’s often accompanied by predictions…

June 24, 2026

When you read about artificial intelligence (AI) revolutionizing the world, it’s often accompanied by predictions that AI will virtually eliminate human work in certain fields. Implementing AI in finance, though, shouldn’t involve firing the finance team and replacing them with AI agents. Rather, smart AI implementation follows much the same pattern that earlier automation software did: the technology makes human jobs easier but cannot replace skilled knowledge workers. 

Business process automation (BPA) software reduces repetitive manual work, such as data entry and reconciling POs and invoices. Similarly, organizations currently using AI successfully are implementing it strategically for specific uses to make human jobs easier. We are not yet at the point where an autonomous finance process is feasible, and it may never be, given the key role that human judgment plays in ensuring the credibility of financial teams. 

Human employees play a vital role in accounts payable. According to Ardent Partners’ AP 2026: Big Trends and Predictions, successful AP leaders refuse to fall for “the dangerous temptation to view AI and automation solely as a headcount reduction tool (p. 9). Instead of reducing the size of the AP team, smart finance leaders are preparing their teams for new roles as AP transitions from a back-office function to take a more central, strategic role

AI in Accounts Payable Separating Hype from Reality AP SaaS

Changes in Exceptions Invoice Processing

Once, AP employees handled every aspect of invoices and payments by hand. They had to manually enter data into a computer system, match purchase orders (POs) and invoices, double-check for errors, send approval reminders, and make payments. The process has become increasingly digital, though.

When your company implements BPA software, the software takes over many routine, manual tasks. The AP team no longer has to worry about tasks like data entry, matching invoices with POs, or sending approval reminder emails. The system also handles many customer service tasks by letting vendors log in to update their own information in your system.

One of the things the AP team still had to manage directly was exceptions invoices. Automation software can typically only process invoices that match specific parameters. If those invoices fall outside those parameters, they are exceptions that require a person to look at them and manually decide how to process them. With AI, though, software is getting better at handling exceptions.

NextProcess AP automation software utilizes a type of AI called machine learning. As you enter historical data and then continue to use the system, the software “learns” how your company processes different types of invoices. Your team is training the system to handle exceptions invoices for you every time they interact with it.

Changes in Data Capture

Optical character recognition (OCR) was a revolutionary technology. Instead of scanning paper files into a system as a static image, you could turn printed text into digital text files. This made AP automation much more efficient. 

We’ve moved past OCR now, though. Advanced image indexing captures metadata surrounding invoices that enter your BPA system, whether they arrive digitally or on paper. For paper files, intelligent character recognition makes it possible for the system to accurately decipher human handwriting as well as printed text. Implementing these systems dramatically reduces errors that would accompany manual data entry. 

With machine learning, image indexing, and intelligent character recognition, it is possible for our software to auto-process the majority of your company’s invoices. AI can even read between the lines to fill in gaps in data capture. For example, if an invoice from an established vendor arrives with an unreadable field, AI can draw on contextual knowledge gathered from other interactions with that vendor (previous invoices, contracts in the system, etc.) to figure out what should be in the field. 

AI in Accounts Payable Separating Hype from Reality AP Software

Changes in Approvals and Compliance

Like many other aspects of financial processing, payments are increasingly digital. In fact, paper checks now account for less than 15% of Business-to-Business payments (Ardent Partners’ AP 2026). With more payments going digital, it’s increasingly possible to completely automate the invoice approval and payment process. You can even set custom tolerances for the system to auto-approve certain invoices. And when human approval is necessary, the BPA system automatically sends approval reminders.

AI-enhanced BPA software automatically matches payments to invoices using machine learning. This auto-processing all happens according to your company’s custom tolerances. NextProcess’s AP software isn’t a black box that you have no control over. We work with your finance team to customize the software to match your needs. The software “learns” as it goes, and you can tweak the customization at any time to make sure the software is enforcing compliance correctly.

BPA for accounts payable supports compliance by automatically creating audit trails, enforcing company policies, logging timestamps, and eliminating human error in data entry. Data regulation and security technology keeps your data safe and helps your company comply with regulations, including industry-specific regulations like HIPAA.

Changes in the AP Team’s Role

For workers in many industries, there is a lot of uncertainty about how automation and AI technology will affect their jobs. As your company implements more digital technology in the finance process, make sure you are also preparing your team to work with this new technology

AI can’t replace human experience, knowledge, and judgment. With automation taking over more of the repetitive tasks involved in AP, you can shift your team’s focus to tasks that require human intelligence and ingenuity. Choosing what aspects of the process not to automate is a critical aspect of a finance leader’s current role

As you implement automation, also implement a program to equip your team with the upskilling they need to thrive as your company changes. Training in data literacy, how to validate AI outputs, and cross-functional collaboration prepares teams for a more analytical and strategic role.

NextProcess provides a true end-to-end SaaS BPA solution that covers budgeting, project management, purchasing, accounts payable, and payments. Contact NextProcess today for a free demo so you can see how our flexible, customizable, user-friendly software solution can benefit your company.