90% Automated Invoice Matching with Agentic AI.
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HighRadius automates invoice capture by extracting data from emails, then uses AI/ML to validate them - eliminating manual entry and speeding up AP processing.
HighRadius automates 3‑way matching of invoices, POs, and goods receipts with business rules - cutting manual work and boosting straight-through processing.
HighRadius uses AI to code non-PO invoices based on historical data, invoice content, and business rules - reducing manual effort and ensuring compliance with business policies.
HighRadius accelerates invoice approvals with rule-based routing and real-time visibility. Approvers can review and act on invoices via email, cutting cycle time and improving compliance.
HighRadius automates ERP invoice posting once approvals and validations are complete - ensuring clean data, fewer posting errors, and low manual intervention.
Cut Invoice Processing
Costs By 50%
Eliminate manual tasks, reduce errors, & accelerate approvals with AI-driven data capture, 3-way matching, & seamless ERP integration.
Boost Productivity
By 40%
Eliminate manual data entry, automate invoice matching, and streamline approvals with AI-driven workflows and real-time tracking.
Ensure 100% Policy
Adherence
Enforce compliance by standardizing workflows, automating approvals, and ensuring every invoice aligns with company policies.
From managers to CFOs, HighRadius helps the entire AP team to achieve their targets.
HighRadius empowers your team with Agentic AI to eliminate repetitive tasks, auto-resolve exceptions, and fast-track invoice processing—so you can focus on what really matters.
HighRadius transforms AP from a cost center into a strategic lever with real-time data, discount capture, and complete control over working capital.
HighRadius offers ERP-native, API-first integration with minimal IT lift—so you can modernize AP workflows without disrupting your core systems.
Your AP process may look fine—but you can easily automate 90% of it. Get actionable insights to choose the right automation solution for your needs.
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Ready-to-use scorecard that highlights both key and overlooked features, enabling you to effectively compare AP solutions and select the optimal fit for your business.
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Spot hidden AP inefficiencies, choose tools with 90%+ automation, and cut processing costs by up to 50%.
Download GuideInvoice matching software is a crucial component of modern accounts payable (AP) departments. It automates the meticulous process of comparing invoices with corresponding purchase orders (POs) and, in many cases, receiving reports.
By leveraging advanced technologies like Optical Character Recognition (OCR) and Artificial Intelligence (AI), invoice matching automation streamlines data extraction, ensuring accurate and efficient comparison of key details such as quantities, prices, and terms. This meticulous verification minimizes the risk of overpayments, duplicate payments, and human errors that can plague manual processes, ultimately leading to a more robust and efficient AP workflow.
Agentic AI replaces rigid matching rules with dynamic, self-learning agents that intelligently link invoices to POs and GRNs. It evaluates item codes, descriptions, quantities, and pricing using machine learning and heuristics—resolving variances without waiting for human action.
The AI agent conducts granular checks on price, quantity, freight, taxes, and total amounts. If mismatches exceed tolerance thresholds, it flags exceptions instantly. Where policy allows, it auto-applies freight thresholds or recommends GL coding for missing components—ensuring accurate accounting.
Agents pull open POs and goods receipt data directly from the ERP, match them in real-time, and automatically update PO and GRN balances post-match. This creates a continuous loop of data validation, consumption tracking, and error-free matching across documents.
When anomalies need manual attention, the agent flags them clearly and enables AP teams to override and complete the match—while capturing the override behavior to improve future accuracy through iterative learning.
With HighRadius' Agentic AI-powered AP automation software, invoice processing cycle time is 2X faster, and overall productivity improves by 40%.
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Invoice matching is the critical foundation of accurate and efficient accounts payable process. It involves meticulously comparing invoice data with corresponding purchase orders (POs) and, in many cases, receiving reports. This meticulous comparison ensures the accuracy of invoices, verifying that the goods or services received align precisely with the original order and that the invoiced amount is correct.
Invoice matching typically involves a multi-step process that leverages key data points from various documents. These data points include invoice numbers, vendor information, dates, line items (including descriptions, quantities, and unit prices), and total amounts. The system meticulously checks for inconsistencies, such as:
Quantity discrepancies: Comparing the quantity ordered on the PO to the quantity received and invoiced. For instance, if 100 units were ordered but only 95 units were received, the system flags this discrepancy.
Price discrepancies: Verifying that the unit price on the invoice aligns precisely with the agreed-upon price on the PO. Any deviations, such as unexpected surcharges or discounts, are immediately identified.
Terms and conditions discrepancies: Ensuring compliance with agreed-upon payment terms (e.g., net 30 days), discounts for early payment, and any other contractual obligations outlined in the purchase order.
Two-way matching and three-way matching represent different levels of verification within the invoice matching process.
Two-way matching: This method compares invoices directly to purchase orders. It essentially verifies that the goods or services ordered were indeed invoiced. While effective for certain scenarios, two-way matching may not always catch discrepancies that arise between the order and the actual goods or services received.
Three-way matching: This more comprehensive approach compares invoices to both purchase orders and receiving reports. By incorporating the receiving report into the verification process, three-way matching ensures that the goods or services received match both the order and the invoice. This provides a higher level of accuracy and control, minimizing the risk of paying for goods or services that were never received or were received in a different quantity or condition.
Invoice matching software automates the tedious and time-consuming process of invoice matching by leveraging advanced technologies such as Optical Character Recognition (OCR), Artificial Intelligence (AI), and Machine Learning 1 (ML).
Instead of relying on manual data entry and cumbersome manual comparisons, the software efficiently extracts data from various sources, including invoices received via email, EDI, or even scanned documents. The invoice matching software then intelligently compares this data with the information in the corresponding purchase orders and receiving reports (if applicable). By automating these tasks, invoice matching software significantly reduces the risk of human error, improves processing speed, and frees up valuable time for AP staff to focus on more strategic initiatives.
When selecting invoice matching software, consider these key features:
Automated invoice matching software revolutionizes the accounts payable process by significantly improving efficiency, accuracy, and speed. By automating data entry and comparison, it reduces labor costs and frees up valuable time for AP staff to focus on more strategic initiatives, such as vendor relationship management, financial analysis, and process optimization.
By implementing robust invoice matching software, businesses can significantly enhance their AP function, improve operational efficiency, reduce costs, and gain a significant competitive advantage.
