Automating accounts payable (AP) invoice processing offers construction companies significant benefits, streamlining operations and improving efficiency. Here are the key advantages:

The ancora solution enables organizations to efficiently identify, sort, and separate incoming invoices, delivering streamlined processing and accurate data capture. •Data extraction tailored to the requirements of each document type •Automated PDF splitting into individual invoices with their corresponding supporting documents •Country-of-origin detection to automatically apply the correct localization rules to each invoice

ancora’s patented unassisted and assisted machine learning algorithms seamlessly analyze and extract required data elements from invoices and other documents—without prior setup or vendor-specific templates. •Automates invoice data extraction for suppliers not using e-invoicing •Unassisted machine learning captures 70–80% of data from new invoices right out of the box, with the remainder verified by an operator, enabling the system to learn and improve for future invoices from the same vendor

ancora offers comprehensive reporting across nearly all solution activities, with export capabilities for deeper analysis. Some of the available reports include: •User Dashboard Reports •Volume Reports •Turnaround Time Reports •Productivity Reports •Accuracy and Automation Rate Reports

Unlike legacy AP automation capture solutions, ancora is built for rapid deployment, measured in days, not weeks or months. Our patented technology eliminates the need for prior setup, large document sample sets, or vendor-specific templates.

Reduce the manual labor associated with AP Invoice processing by up to 85% helping to speed up approvals and payments, improving cash flow and significantly cuts down processing time from days to hours or minutes.

Using patented unassisted and assisted machine learning algorithms automatically extract required data from invoices including line-item detail with no prior setup or learning.

Minimizes human errors in invoice capture and entry.