AI in Accounts Payable: How it Improves AP Processing

AI in Accounts Payable: How it Improves AP Processing

(Last Updated On: April 17, 2023)

Automation is the need of the hour for all types of enterprises. Whether you are in the finance industry or the manufacturing space, some level of automation is a must for your enterprise. With advancements in technologies and business processes, AI in accounts payable is an emerging trend of automation that enables your enterprises’ finance and accounts departments to streamline their processes.

Automation in accounts payable by leveraging artificial intelligence is a solution that makes the enterprise less reliant on manual labour, reduces errors such as duplicate invoices, fraud, and payment discounts and also helps to build rapport with vendors as payments are made on time. Employees and suppliers benefit from AP Invoice automation as processes are faster and employees can pay more attention to core business activities.

AI in accounts payable is not just about data extraction but end-to-end document processing. This means that from identification and classification to getting the data stored on the backend, artificial intelligence, along with machine learning and other technologies, can execute this highly effectively. In this blog post, we’ll discuss how AI is revolutionizing accounts payable and the benefits it offers.

Benefits of AI in Accounts Payable:

AI can provide significant benefits to AP processes, including:

1. Faster processing times:

AI can process invoices and other documents faster than humans, reducing processing times significantly.

2. Improved accuracy:

Artificial intelligence can automate tasks such as data entry, reducing the risk of errors and ensuring accuracy.

3. Reduced costs:

By automating manual tasks, AI can reduce labor costs and increase cost-effectiveness.

4. Increased efficiency:

AI can streamline AP processes, allowing organizations to process invoices and other documents more efficiently.

5. Better cash management:

AI can help organizations manage their cash flow by providing real-time insights into payment processing and vendor payment patterns.

How AI is Used in Accounts Payable:

AI is used in several ways in AP processes, including:

Data extraction:

Artificial intelligence can extract data from invoices, bills, receipts and other documents, reducing the need for manual data entry and human intervention.

Document processing:

AI can process invoices, receipts, and other documents, identifying errors and ensuring compliance with organizational policies.

Invoice matching:

AI in a accounts payable can match invoices with purchase orders and receipts, reducing the risk of errors and ensuring accuracy.

Fraud detection:

AI can detect fraudulent invoices and other documents, reducing the risk of financial losses.

Payment processing:

AI can process payments to vendors, ensuring that payments are made on time and accurately.

Applications of AI in Accounts Payable

1. Automation

Automating Repetitive Tasks

The accounts payable team has to handle many manual tasks on daily basis. Some of them barely require human judgement as it has a rule-based structure to follow. Examples of repetitive tasks are invoice routing, invoice filling, matching invoices to supplemental documents and data entry-related tasks. The above-mentioned tasks can be automated by using artificial intelligence in accounts payable systems.

Algorithms enabled with machine learning systems can support business rules like:

  • Identification and extraction of data from documents,
  • Inputted data in the required documents,
  • Linking data for exceptions resolutions
  • Sending documents to the required personnel for exception handling and validation purposes.

Sorting of documents that are sent with invoices

Invoices are bundled up with different documents like contracts, recipients’ invoices, credit notes or payment reminders. Combining Optical Character Recognition (OCR), Natural Language Processing (NLP), and machine learning, enables the extraction of relevant data, contextual understanding of the text and categorising these documents. Automation of such a process enables businesses to convert physical documents to digital systems and ease search functionality in the system.

2. Analytics

Forecasts with balance-sheet

Forecasting upcoming revenue and expenses are critical for an enterprise’s financial planning. Accounts payable balance sheet entries are connected to data from operations and cash cycles. AI-powered analytics helps enterprises to balance their firm’s cash flow based on previous historical data.

3. Compliance

Fraud detection

Fraud actions are a threat to any and all types of organizations. Accounts payable fraud is arguably the most attempted form of fraud that takes place. Fake invoices are submitted as proof of payments which at times has no association with any real vendor. There are various types of fraud that can take place. Some of them are:

Invoice Fraud: This involves someone who sends an invoice pretending to be one of your vendors or suppliers. This invoice has the bank account details of the fraudster.

Billing Scheme: This fraud type leads to the generation of fake payments that are paid to themselves.

Cheque Fraud: Cheque fraud means that a person or an entity is attempting to make a transaction with a cheque that is either altered, invalid, stolen or has been manipulated.

Reimbursements of Expenses: This is a fraud payment scheme wherein an employee fakes or exaggerates a business expense. It can occur as an overstated expense, fictitious expense, mischaracterized expense or even double claims.

Automated Clearing House Fraud: This type of fraud involves the unauthorized transfer of funds that happens in a bank account

Kickback Schemes: This is a type of bribery where a commission is paid to the person taking the bribe for the services that are being rendered.

Artificial intelligence has the ability to analyse patterns in invoices and similar document types. This is to understand the non-standard behaviour that might indicate fraudulent documents. Once the artificial intelligence detects such fraud, it will flag these transactions and notify the key decision-makers. Best practices are followed by the system to ensure that changes in payment details can alert the companies at the right time and save them from fraud taking place.

Identification of errors

Errors made by humans are one of the most common issues faced with accounts payable. Human-made errors can cause huge sums of losses that can be easily preventable if they are checked and rectified on time. Misplaced invoices, duplication of data, and poor data entry are some of the many types of errors that occur. AI in accounts payable helps to tackle these issues and to ensure that such invoice errors and duplicate payments do not take place.

AI Solutions for Accounts Payable Automation

Several AI solutions are available for AP processes, including:

KlearStack AI:

KlearStack AI is an intelligent document processing platform that uses advanced OCR technology to extract data from invoices and other documents accurately. It can automate tasks such as data entry, document processing, and invoice matching, reducing processing times significantly.

IBM Watson:

IBM Watson is an AI-powered platform that can automate tasks such as invoice matching, payment processing, and fraud detection, increasing efficiency and accuracy.

Sage Intacct:

Sage Intacct is a cloud-based accounting platform that uses AI to automate AP processes, reducing the need for manual data entry and improving accuracy.


AppZen is an AI-powered platform that uses machine learning to detect fraudulent invoices and other documents, reducing the risk of financial losses. is an AP automation platform that uses AI to streamline AP processes, including invoice matching, payment processing, and cash flow management.


AI is revolutionizing accounts payable processes, providing significant benefits such as faster processing times, improved accuracy, reduced costs, increased efficiency, and better cash management. By using AI in accounts payable, organizations can streamline their AP processes, saving time and increasing cost-effectiveness while ensuring accuracy and compliance with organizational policies.

Learn in details about the challenges of the account payable system, how AP automation can help, and why KlearStack is one of the leading AP automation software in the industry. Download the White paper

KlearStack AI leverages state-of-the-art AI technologies to extract data with high accuracy and process documents from end to end. Schedule a demo to learn more about KlearStack AI how it can help your organization achieve end-to-end accounts payable automation.

Ashutosh Saitwal
Ashutosh Saitwal

Ashutosh is the founder and director of the award winning KlearStack AI platform. You can catch him speaking at NASSCOM events around the world where he speaks and is an evangelist for RPA, AI, Machine Learning and Intelligent Document Processing.