Why manual procure-to-pay process
is holding you back
Do you know?
- A typical SMB processes about 450 invoices per month with a duplication rate of 1.29%; that’s equivalent to 6 duplicate invoices every month
- 62% of businesses report manually handling more than 75% of the hardcopy invoices they receive
- Manpower costs make up 62% of the total Accounts Payable (AP) costs
- It costs the bottom 25% of American companies US$10 or more to process each invoice, while the top 25% spends only $2.07 or less
Challenges:
Invoice processing is manual and error-prone, and delayed
Manually processing hundreds, if not thousands, of invoices every month is both inefficient and ineffective
Complex navigation through diverse data sources and formats
Optical Character Recognition (OCR) technology is unable to handle different or new invoice formats
Traditional automation solutions are ineffective
Due to limitations in existing automaton solutions, human experts are often deployed as workarounds to fill those gaps
Time-consuming and complex workflows
Besides extracting invoice data accurately, there are additional processing that needs to be performed before the invoice can be posted to the system, e.g. 2-way or 3-way matching
Poor data quality complicates processes
Given that enterprise data tends to be dirty, difficult and diverse, a robust and reliable solution that can resolve exceptions is sorely lacking
Solution Overview:
Integrate with existing financial systems
Integrate with any ERPs systems or accounting software through both API and UI automation
Parse and understand invoices quickly
Leverage machine learning models to classify and extract data from invoices automatically regardless of the document format
Automate reconciliation tasks, only engaging with human to resolve exceptions
Augment AI agent with human experts through Human-in-the-Loop technology
How our AI assistant for
invoice reconciliation works
Step 1
Retrieve invoices from various sources including emails, folders, web portals, etc.
Step 2
Digitize, classify, and extract data from the invoice documents
Step 3
Perform 2-way or 3-way matching against Purchase Order (PO) and/or Goods Receipt Note (GRN)
Step 4
Post reconciled invoices into ERPs systems or accounting software, e.g. SAP, Microsoft, Oracle, etc.
Step 5
Route exceptions to human experts for verification/validation and resolution
Key features and benefits of Agentic AI
Significant reduction in processing time (hours to seconds)
Increased efficiency and reduced errors
Improved cash flow and cost savings
Business teams empowered with AI-driven solutions
Frequently asked questions
Task automation with RPA: Read structured data, perform 2/3-way matching, and post invoice into ERP
Process automation with RPA & OCR/IDP: Retrieve submitted invoice, extract required data, perform 2/3-way matching, and post invoice into ERP
Intelligent automation with AI agents: All of the above, including automatic validation of the extracted data, invoice/payment approval based on evolving company policy (i.e. not static rules), handling of rejected invoices, fraud detection, etc.
Are you still spending hours every day manually performing invoice reconciliation?
It is time to delegate the mundane, menial tasks to your own AI agent so that you can focus on work that truly matters.