Accounts Payable AI Platforms

Last update: January 17, 2025

Accounts Payable (AP) AI platforms enable businesses to automate and streamline back-office and bookkeeping duties, such as data entry and reporting.  +Show More

Accounts Payable (AP) AI platforms enable businesses to automate and streamline back-office duties, such as data entry, bookkeeping and reporting. Here are a few capabilities of accounts payable (AP) AI platforms:

To be included in this list, the AP AI platform must be capable of:

  • Invoice capture: Automatically extracting data from invoices in multiple formats, such as email and PDF, using optical character recognition (OCR) and AI technologies. This reduces cost of shared service centers that rely on human labor to extract data from documents.
  • Duplicate expense identification: Leveraging document data fields beyond document ID to identify potential duplicates even when they arrive from different channels like PDF in emails or physical invoices sent via mail. This can reduce duplicate payments even in cases where different employees at the vendor issue duplicate invoices.
  • Automated approver identification: Automatically identifying approvers based on machine learning models trained on historical data. This saves companies from maintaining complex rule sets to identify approvers.
  • Automated bookkeeping: Automatically identifying bookkeeping parameters like the cost center of an expense in non-PO invoices of enterprises. This saves bookkeepers from manually reviewing most documents.
  • Continuous learning: Models should be learning from human input to stay up-to-date as process flows, regulations and team members change.
  • Reporting: Tracking automation rates and providing insights into the organization's spending patterns.
If you’d like to learn about the ecosystem consisting of Accounts Payable AI Platforms and others, feel free to check AIMultiple Finance.
How relevant, verifiable metrics drive AIMultiple’s rankings

AIMultiple uses relevant & verifiable metrics to evaluate vendors.

Metrics are selected based on typical enterprise procurement processes ensuring that market leaders, fast-growing challengers, feature-complete solutions and cost-effective solutions are ranked highly so they can be shortlisted.
Data regarding these metrics are collected from public sources as outlined in the “What are AIMultiple’s data sources?” section of this page.


There are 2 ways in which vendor metrics are processed to help prioritization:
1- Vendors are grouped within 4 metrics (customer satisfaction, market presence, growth and features) according to their performance in that metric.
2- Vendors that perform high in these metrics are ranked higher in the list.


The data used in each vendor’s ranking can be accessed by expanding the vendor’s row in the below list.
This page includes links to AIMultiple’s sponsors. Sponsored links are included in “Visit Website” buttons and ranked at the top of the list when results are sorted by “Sponsored”. Sponsors have no say over the ranking which is based on market data. Organic ranking can be seen by sorting by “AIMultiple” or other sorting approaches. For more on how AIMultiple works, please see the ethical standards that we follow and how we fund our research.

Products Position Three Way Match ERP Marketplace Applications
PairSoft logo

PairSoft

Leader
Dynamics 365, Oracle ERP, Sage, Blackbaud
PairSoft's solutions for procurement, AP automation, fundraising automation, and document management automate transactional tasks. PairSoft offers a comprehensive suite for document management, electronic workflow, and transaction automation. With PairSoft, users can automate purchase orders creation, invoice capture, AP payments, and approval workflows. The product offers integrations with ERPs like Microsoft Dynamics GP and 365 NetSuite, and Sage Intacct.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
3.65 / 5 based on ~100 reviews
Market presence
Company's number of employees
100-200 employees
Company's social media followers
20k-30k followers
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
Dynamics 365
Oracle ERP
Sage
Blackbaud
Company
Type of company
private
Stampli logo

Stampli

Leader
Dynamics 365, Oracle ERP, Quickbooks, Sage
Stampli is a cloud-based accounts payable automation platform. It offers to streamline invoice processing, approval workflows, and payment procedures. Stampli brings accounts payable related documentation and workflows into one place and offers integration with 70+ ERP systems.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.48 / 5 based on 1k reviews
Market presence
Number of case studies
10-20 case studies
Company's number of employees
300-400 employees
Company's social media followers
10k-20k followers
Total funding
$100-250m
# of funding rounds
6
Latest funding date
October 3, 2023
Last funding amount
$50-100m
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
Dynamics 365
Oracle ERP
Quickbooks
Sage
Company
Type of company
private
Founding year
2015
AccountsIQ logo

AccountsIQ

Leader
SAP S/4HANA, Quickbooks
AccountsIQ offers features such as accounts payable automation, multi-currency and multi-location support, multi-dimensional analysis, management report packs, and integration with other business applications.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.70 / 5 based on ~90 reviews
Market presence
Number of case studies
30-40 case studies
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Total funding
$50-100m
# of funding rounds
3
Latest funding date
June 12, 2024
Last funding amount
$50-100m
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
SAP S/4HANA
Quickbooks
Company
Type of company
private
Founding year
2005
AppZen logo

AppZen

Leader
SAP S/4HANA
AppZen is an AI-powered spend auditing platform. It can automate expense report auditing, invoice processing, and contract review. The software also offers real-time compliance checks, flagging discrepancies and fraudulent activities.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.45 / 5 based on ~50 reviews
Market presence
Number of case studies
5-10 case studies
Company's number of employees
300-400 employees
Company's social media followers
20k-30k followers
Total funding
$100-250m
# of funding rounds
7
Latest funding date
March 1, 2021
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
SAP S/4HANA
Company
Type of company
private
Founding year
2012
Rossum logo

Rossum

Leader
Dynamics 365, SAP S/4HANA
Rossum provides a solution to automate data extraction from documents with Artificial Intelligence to create a world without manual data entry
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.45 / 5 based on ~90 reviews
Market presence
Number of case studies
5-10 case studies
Company's number of employees
100-200 employees
Company's social media followers
10k-20k followers
Total funding
$100-250m
# of funding rounds
6
Latest funding date
January 26, 2024
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
Dynamics 365
SAP S/4HANA
Company
Type of company
private
Founding year
2017
Hypatos logo

Hypatos

Challenger
Dynamics 365, Oracle ERP, SAP S/4HANA
Hypatos offers deep learning skills to automate document-based back office tasks to improve work and make organisations more efficient. The largest consumers of financial data including global manufacturing and retail leaders, the Big 4 and other Fortune 500 and technology companies rely on us. Hypatos outperforms industry standards by >10x and focuses on automation beyond data capture. Hypatos provides an enterprise grade automation module with on-prem, cloud deployment options and integrations to enterprise systems.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.80 / 5 based on ~20 reviews
Market presence
Company's number of employees
50-100 employees
Company's social media followers
3k-4k followers
Total funding
$10-50m
# of funding rounds
3
Latest funding date
January 11, 2022
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
Dynamics 365
Oracle ERP
SAP S/4HANA
Company
Type of company
private
Founding year
2018
Vic.ai logo

Vic.ai

Challenger
SAP S/4HANA
Accounts payable is an important finance function, and Vic.ai automates this process with AI all the way from receiving invoices, analyzing, interpreting, coding cost accounts and dimensions to approval and electronic payments.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.80 / 5 based on ~20 reviews
Market presence
Number of case studies
1-5 case studies
Company's number of employees
100-200 employees
Company's social media followers
10k-20k followers
Total funding
$100-250m
# of funding rounds
5
Latest funding date
December 13, 2022
Last funding amount
$50-100m
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
SAP S/4HANA
Company
Type of company
private
Founding year
2017
PaperSave logo

PaperSave

Challenger
Dynamics 365, Oracle ERP, SAP S/4HANA
PaperSave, now part of PairSoft, originated as a hybrid AP automation and document management solution for on-premise or cloud use. It directly integrated with Microsoft Dynamics, Blackbaud, and Sage Intacct, offering one-click document access from the ERP. This integration remains in PairSoft's offerings, eliminating manual data entry for invoicing, audit trails, purchase orders, and approval workflows.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
3.90 / 5 based on ~10 reviews
Market presence
Company's number of employees
100-200 employees
Company's social media followers
20k-30k followers
Features
Three Way Match
Invoice extraction
ERP Marketplace Applications
Dynamics 365
Oracle ERP
SAP S/4HANA
Company
Type of company
private

“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.


Sources

AIMultiple uses these data sources for ranking solutions and awarding badges in accounts payable AI platforms:


7 vendor web domains
7 funding announcements
20 social media profiles
23 profiles on review platforms
7 search engine queries

Accounts Payable AI Leaders

According to the weighted combination of 4 metrics

Stampli logo
AccountsIQ logo
Rossum logo
AppZen logo
Vic.ai logo

What are accounts payable AI
customer satisfaction leaders?

Taking into account the latest metrics outlined below, these are the current accounts payable AI customer satisfaction leaders:

Stampli logo
AccountsIQ logo
Rossum logo
AppZen logo
Vic.ai logo

Which accounts payable AI solution provides the most customer satisfaction?

AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.

While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.

  • Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
  • Recency is important as products are always evolving.
  • Reviews older than 5 years are not taken into consideration
  • older than 12 months have reduced impact in average ratings in line with their date of publishing.

What are accounts payable AI
market leaders?

Taking into account the latest metrics outlined below, these are the current accounts payable AI market leaders:

Stampli logo
AccountsIQ logo
Rossum logo
AppZen logo
Vic.ai logo

Which one has collected the most reviews?

AIMultiple uses multiple datapoints in identifying market leaders:

  • Product line revenue (when available)
  • Number of reviews
  • Number of case studies
  • Number and experience of employees
  • Social media presence and engagement
Out of these, number of reviews information is available for all products and is summarized in the graph:

Stampli
PairSoft
AccountsIQ
Rossum
AppZen

What are accounts payable AI feature leaders?

Taking into account the latest metrics outlined below, these are the current rpa software feature leaders.

Stampli logo
PairSoft logo
PaperSave logo
Hypatos logo
Rossum logo

Which one offers the most features?

Stampli, PairSoft, PaperSave offer the most feature complete products.

See how features are counted.

Stampli
5 features
PairSoft
5 features
PaperSave
4 features
Hypatos
4 features
Rossum
3 features

What are the most mature accounts payable AI platforms?

Which one has the most employees?

AppZen logo
Stampli logo
Rossum logo
PaperSave logo
Vic.ai logo

Which accounts payable AI companies have the most employees?

144 employees work for a typical company in this solution category which is 121 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 11 companies with >10 employees are offering accounts payable ai platforms. Top 3 products are developed by companies with a total of 806 employees. The largest company in this domain is AppZen with more than 300 employees. AppZen provides the accounts payable AI solution: AppZen

AppZen
Stampli
Rossum
PaperSave
Vic.ai

Insights

What are the most common words describing accounts payable AI platforms?

This data is collected from customer reviews for all accounts payable AI companies. The most positive word describing accounts payable AI platforms is “Easy to use” that is used in 5% of the reviews. The most negative one is “Difficult” with which is used in 1% of all the accounts payable AI reviews.

What is the average customer size?

According to customer reviews, most common company size for accounts payable AI customers is 51-1,000 employees. Customers with 51-1,000 employees make up 60% of accounts payable AI customers. For an average Finance solution, customers with 51-1,000 employees make up 26% of total customers.

Customer Evaluation

These scores are the average scores collected from customer reviews for all accounts payable AI platforms. Accounts Payable AI Platforms are most positively evaluated in terms of "Value For Money" but falls behind in "Likelihood to Recommend".

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

Where are accounts payable AI vendors' HQs located?

What is the level of interest in accounts payable AI platforms?

This category was searched on average for 0 times per month on search engines in 2024. This number is still 0 in 2025. If we compare with other finance solutions, a typical solution was searched 886 times in 2024 and this decreased to 0 in 2025.

Learn more about Accounts Payable AI Platforms

An Accounts Payable AI Platform streamlines and expedites the account payable process with the help of AI automation and optimization tools. It offers a more autonomous functionality compared to traditional automation by learning from historical data, predicting trends, and making intelligent decisions to streamline AP tasks.

Accounts Payable AI Platforms use machine learning and data analytics to learn from historical data, predict future outcomes, and make intelligent decisions. As a result, an Accounts Payable AI platform may perform more complicated tasks and gradually becomes more effective over time with little to no human intervention.

Approver Identification: AP departments must determine who is authorized to approve invoices before they can be paid. This implies that the identities of the approvers will change with each procedure. Even with ever-changing data, machine learning models can anticipate the appropriate approver for new invoices by analyzing prior data and learning patterns.

Data Capture: Enterprises manage a tremendous amount of invoices, therefore OCR technology alone may fall short in capturing data on them, demanding human intervention. Machine learning models can quickly understand essential data, boosting automation. Models trained on company-specific data with continuous learning capabilities are particularly efficient in streamlining operations.

Invoice processing: Use of AI in invoice processing entails the automatic extraction and validation of data from a wide variety of invoice forms.

Fraud detection: Identifying unusual patterns that might indicate fraud in accounts payable process. 

Vendor management: Manage vendors by anticipating their actions, shortening payment terms, and recommending more attractive arrangements.

Cash flow forecasting: Predicting future cash flow trends based on historical data. 

Rectifying Errors: Finding and fixing inconsistencies in data entries without human intervention.

Imrpoved labor efficiency: The AP process speeds up with less time spent entering data manually.


Cost Savings: Errors, late fees, and manual work can all be reduced, leading to significant savings.


Reduced errors & improved compliance:  Appointing machines to handle these processes reduces the number of people who access the document and reduces the possibility of human errors that may lead to compliance issues. 


Improved financial planning: AI can make forecasting faster and more accurate than people. Insights from historical data such as recurring invoices give businesses insights and help them decide when to release cash or take early-payment discounts.

Most recent Accounts Payable AI Platforms are designed to smoothly interact with common financial and ERP systems. The integration process is usually simple, ensuring that enterprises may quickly benefit from the AI capabilities without large disruptions to their present workflows.

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