Using AI for automating your accounts payable function can significantly decrease costs related to manual processes. Although finance leaders understand that accounts payable automation provides numerous benefits, many companies continue using manual processes of invoice processing since it is not always easy to automate this process. For example, over 68% of organizations are manually entering their invoices into the ERP system as they either ignore new technologies available or cannot justify ROI in the absence of urgent situations, such as audits, vendor requests, or month-end closes.
In average, it takes 14.6 days to process an invoice manually and about 39% of invoices contain errors. These errors can include incorrect data, missing fields, inconsistencies in PO information, etc., requiring additional tracking and re-routing of invoices. Moreover, it still remains difficult to solve invoice exceptions, automate data entry and deal with unexpected spikes.
Basic accounts payable automation solved earlier problems, such as scanning and approving invoices, however, now it is necessary to automate accounts payable function to handle growing number of invoices, complex ecosystems of vendors, stricter compliance regulations, and unexpected volume spikes, whereas team sizes remain the same.
As a result, the Manual invoice entry dropped from 85% in 2023 to 60% in 2024 not because budgets increased, but because teams that adopted AI-Powered AP automation moved ahead, while others are still catching up.
What exactly is AI-powered accounts payable automation?
In essence, AI-driven AP automation entails the utilization of artificial intelligence in managing the entire invoice and payment process without any manual effort required. In other words, the process involves the processing of the invoices, data extraction, matching with purchase orders, approving and scheduling payments without the need for any individual entering figures in an Excel sheet or seeking approvals through emails.
Core challenges that traditional accounts payable functions face
Main problems experienced by conventional AP processes
1. First comes the delay in invoice processing.
As businesses scale, they receive more invoices. Invoice processing poses quite an issue because more invoices mean more vendors and POs to deal with and more invoice formats. Thus, nearly 30 percent of AP teams find it difficult for their existing system to cope with all incoming invoices at once. This issue is not caused by the insufficient staffing but rather the old-fashioned way of processing invoices that simply does not cope anymore.
2. Manual data entry
As it was mentioned above, manual invoice processing can lead to a number of complications, including incorrect entries. The fact is that 57% of data used in the company’s AP system is entered manually. This means that each time data is entered manually, there’s always a possibility that the wrong vendor code, double entry, incorrect GL codes will appear and lead to problems during monthly closing.
3. Then three-way matching fails under pressure
Triple-checking can fail due to an increase in volume. On paper, triple-checking seems like a good practice, and the idea of reconciling invoices against POs and goods receipts appears to be a logical step. However, in reality, the challenge becomes significant as soon as hundreds of non-PO invoices come into play, creating bottlenecks in the invoice-to-pay cycle. 39% of manually processed invoices suffer from mistakes such as a mismatched amount, missing data, or an invalid PO reference, slowing down the approval process and damaging supplier relations.
4. This leads to lack of cash flow visibility.
The visibility of cash flow suffers because of this. With the manual AP process, invoice approvals take two weeks, leaving cash flow unnecessarily tied to the business. Early payment discounts are lost, and deadlines for paying invoices go unnoticed, causing penalties. Companies that already automated their accounts payable state that they are 85% less likely to pay late compared to businesses that still do this process manually.
5. But the most important ones always come later.
The danger of compliance and fraud is ever present but only becomes evident when there is a problem. Manual accounts payable processing does not provide a continuous audit trail, while approval processes get buried in emails. Visibility into spending is fragmented among multiple business units. What’s more disturbing is that an estimated 98% of organizations have experienced fraudulent attacks on their businesses.
Five key capabilities of AI-driven AP automation solutions
1. Intelligent invoice capture and data extraction
The first crucial step is intelligent invoice capture and data extraction. With AI, invoice data interpretation becomes easy and seamless since the solution can cross-reference data from the invoices and purchase orders and receipts for flawless processing without human intervention. Furthermore, AI solutions are flexible to different currencies, invoice formats, and layouts from suppliers regardless of regular changes to templates.
2. Automated three-way matching
One of the challenges of the approval process is handled through the second key capability, namely automatic three-way matching. This function cross-references the invoice against the PO and goods receipt. On top of that, AI-based solutions compare invoices to contracts and supplier details to ensure compliance to procurement guidelines even before the invoice reaches the approver.
3. GL coding and intelligent approvals routing
The next step GL coding and intelligent approvals routing means that posting accounts, cost centers, and tax code decisions will be no more. Instead, machine learning models will analyze historical postings to assign GL account, cost centers, and tax codes. Approvals will be routed to the correct personnel thanks to machine learning as well.
4. Fraud prevention and elimination of duplicates
The detection of fraud and the elimination of duplicates occur behind-the-scenes. Machine learning algorithms detect any unusual behavior, any non-compliance in invoices, and any anomaly, all prior to payments being made. The result of this is that auditing becomes unnecessary, and there are no delays that occur as a result of finding out about problems at a later stage.
5. ERP integration and visibility
ERP integration and real-time visibility complete the process. The majority of procurement to pay software solutions easily integrate with ERP software solutions such as SAP, Oracle, NetSuite, and Microsoft Dynamics.
How to automate your AP function using AI – step-by-step guide
1. Multi-channel invoice capture
Automating your Accounts Payable function begins with capturing every single invoice your organization receives with zero hassle. Factually speaking, the invoices do not arrive only via one channel. They may be sent as emails, appear in vendor portals, come as PDFs, scans or photos, sent via mobile upload or even by integrating them with APIs. An automated solution powered by AI is capable of receiving all these invoices and putting them into a centralized location. The ability of such an AP automation solution to capture invoices is extended to handwritten ones too. It makes no difference whether the document you receive was scanned or received as an image by the vendor.
2. AI invoice reader tool
Once the invoices are digitized, the next challenge is interpretation, and here, the capabilities of artificial intelligence are much more advanced than traditional Optical Character Recognition tools. While the latter require strict adherence to templates, AI-based systems can analyze invoices in different formats and learn from their unique features. As a result, the system becomes better and better at analyzing invoices, requiring fewer manual correction or mapping processes. Therefore, this is a good foundation for further processing.
3. AI-Based invoice data extraction
After the invoice has been recognized by the system, the AI-based algorithm performs automatic extraction of all important information. It includes such parameters as vendor name and details, number, date, line items, total amount, GST elements, and payment terms. The major advantage of this technology is that it eliminates all possible mistakes due to manual data input. The information will be correctly structured and ready for validation.
4. Invoice verification by AI
Here is where the real value of AI comes into play when it comes to financial controls. Every single invoice goes through an automated process of verification, ensuring there is no room left for any mistakes or errors. The vendor data along with GSTIN number gets verified for any inconsistencies, ensuring nothing is off.
5. Intelligent exception management
AI helps identify and segregate the invoices that don’t make the cut during the process of verification. All the exceptions get identified and automatically flagged, and the relevant person gets notified for further analysis. The exceptional nature of the management system makes life easier for all the finance teams involved, as they no longer have to analyze every invoice but rather focus only on those that are exceptional.
6. Self onboarding of vendors & automated communication
Another typical issue is when an invoice is received from an unregistered vendor. Previously, such issues would lead to manual onboarding. However, with the help of AI technology, it has been simplified. The system automatically sends out an email to the vendor containing a link where they would need to enter some information about themselves (their GSTIN number, MSME status, the name of the company, their address), upload some supporting documentation and click ‘Submit’. The system will validate the entered information and create the vendor’s profile. Constant communication with vendors takes a considerable part of the Accounts Payable Department’s work. AI allows us to automate such communications, sending notifications when information is missing and notifying the user if something needs to be corrected. In addition, it provides us with the ability to send reminders and alerts automatically without requiring any intervention from our side.
7. Workflow automation
After invoices have been verified, they move into the approval process. Instead of going for manual process management, AI will use workflow automation by following defined workflows based on business rules. These can be customized depending on factors such as the amount of the invoice, department, cost center, or vendor category. Everything is traced in real-time, and an audit trail is maintained. In such a case, approvals become quicker and yet full control and visibility are achieved.
8. Auto escalation
Sometimes, even with properly established workflows, delays can happen. In order to prevent any further disruptions, the system is constantly monitoring its operations and searching for any potential delays.
9. Integration with ERP system & posting
As soon as invoices become approved, they are automatically posted within the ERP system. This way, you won’t have to manually enter all information and duplicate your efforts. This integration will allow you to receive real-time data, accurate accounting data and proper synchronizing of all systems. Not only will this process simplify reconciliation procedures, but it will increase overall accuracy of your finances.
10. CFO analytics and control
This is the point when accounts payable goes beyond its usual functions and becomes a strategic force within the company. Using AI allows CFOs to receive real-time dashboards and gain insights regarding their payables, cash flows, vendors, and the efficiency of their processes. All this data helps CFOs make better decisions, optimize working capital management and ensures constant compliance.
Leading AI-Powered AP automation software providers in the market
With the growing trend towards implementing AI systems for finances management, choosing the right AP automation system becomes more crucial now. Whereas a number of software solutions provide with the basic invoice capture and processing, very few are able to offer complete AP transformation through end-to-end automation.
Below is a list of some of the best invoice automation software systems currently on the market, with the most advanced one being mentioned first.
1. TYASuite ZeroTouch Invoice Automation (AI-powered)
While other companies can provide you with invoice automation software, TYASuite goes a step further providing with the ultimate platform for AP transformation a procure-to-pay system which will be able to cover the entire financial workflow from vendor onboarding to posting in your ERP. In addition, TYASuite introduces invoice automation technology called ZeroTouch invoice automation where invoices are automatically captured and processed without any manual labor involved. In comparison to other tools focused solely on extracting data from invoices, TYASuite offers intelligent, compliant, and highly valid invoice processing based on a unique multi-level AI validation process comprising of 66-point AI validation framework.
Key features:
• AI-based invoice capturing (multi-format support: email, portal, PDFs, scanned, handwritten, and API)
• Template-free AI invoice reading
• Automated supplier onboarding with GST, PAN, MSME, and bank verification
• Two-way and three-way match (PO, GRN, Invoice)
• Workflows with approvals, escalations, and audit trails
• Integration with major ERPs (SAP, Oracle, Tally, Zoho, NetSuite)
• Real-time financial reporting and CFO dashboards
• All invoices automatically checked against 66 AI-driven criteria
• Live in 3 days with up to 90% savings
• Nearly 100% accuracy rate in invoice processing
• Processing of invoices in various formats such as handwritten and multilingual
• Combines AP automation + vendor management + compliance + ERP integration in a single solution
2. Basware
Basware is a well-known AP automation software company famous for its invoice lifecycle management and enterprise implementations.
Its main strength is the ability to automate invoice processing without any manual intervention by utilizing AI and machine learning throughout the entire invoice life cycle.
Key Features:
• AI-enabled invoice capture in different formats
• Automated invoice matching and coding
• SmartPDF for accurate data extraction
• Intelligent routing and automated workflows
• High compliance and taxation support across nations
• Centralized dashboards for spending visibility
The AI behind Basware has been trained on billions of invoices, ensuring high automation levels and accuracy in enterprise settings.
3. Rossum
Rossum represents a unique AI-first platform, specializing in intelligent document processing, which involves document analysis and workflow automation primarily for the purpose of extracting data from invoices.
This solution relies on cutting-edge LLM-based AI models to analyze documents and automate AP workflows with virtually no additional configuration needed.
Capabilities of Rossum:
• A template-free approach to AI-powered data extraction of any format and structure
• Multi-channel processing involving various tools such as emails, scanning, and EDI systems
• AI-powered document validation based on business rules and ERP systems
• Business processes automation, including workflows, approvals, and vendor correspondence
• Based on continuous machine learning that takes place based on user feedback
• Includes 2-way, 3-way, and even 4-way invoice matching
Rossum is able to process invoices at least 10 times faster with maximum accuracy thanks to the continuous learning capability, and therefore, it fits well with the concept of intelligent AP automation. However, it is more focused on document processing rather than proc-to-pay automation compared to more holistic platforms.
Conclusion
The accounts payable process is extremely crucial in terms of how effectively the finance departments will be able to conduct their operations in light of the increasing numbers of invoices and vendors that they will have to deal with. Manual invoicing can take a lot of time, cause errors, and lead to inefficiency in the entire process of invoice processing. With the help of AI invoicing automation, everything changes. The process becomes more organized, as it involves the management of invoice processing from the very start till the end.
With the introduction of the new level of automation known as ZeroTouch, the process is simplified even further, allowing for automated processing of invoices with minimal or even no manual intervention required.
