By looking across multiple systems such as accounts payable, financial accounting, HR and others we can see if there are any potential fraud points in your invoicing process, across system and across geographical boundaries.
We are able to configure the system to check the data as it arrives in real time or on a schedule – perhaps overnight before payments are approved the next day-
Our Matching Technology can see through commonly introduced errors such as slight alterations of names and amounts.
consectetur adipiscing elit. Sed neque mauris, porta id arcu ac, sagittis auctor ante.
Anything that is considered to be odd will be flagged to the auditor as soon as it is seen
We spent over 15 years mastering the art of matching, we have 24 different built in match types such as Person, Company, Ticker, Address, Color and Size, plus we have thousands of rules that you can use – included.
We present potential duplicate invoices in a uniquely aligned concept grid to help your users decide – faster. The task review process was designed from the start to be simple to use and to manage, and in conjunction with the dashboards this means the system guides you
We show all our data types and concepts for you in an easy to understand active dashboard, you can define the flexible data quality rules to assess the completeness of your data via the data quality dashboard.
“With the help of EntityStreams Invoice Custodian product we were able to transform the process of matching incoming payment requests across multiple systems, now we have a streamlined data governance process.”