Department of Homeland
DHS Looking to Modernize Financial Processing Systems
The Department of Homeland Security is looking for contractors capable of providing high-quality tools in support of its ongoing Financial Systems Modernization Program.
According to a sources sought notice, the agency requires a financial processing system that uses automation, machine learning and artificial intelligence tools to facilitate its transition from paper to electronic invoicing.
The selected contractor for the requirement will have to provide data capture and optical character recognition capabilities to export paper invoices into machine-readable documents, as well as processing analytics and dashboards for monitoring business processes and status of invoices, Nextgov reported.
The contractors’ solution must also facilitate automated workflow and robotic process automation to give DHS staff the ability to examine, validate and process invoices and notify the appropriate finance office users when approving and rejecting invoices.
In addition, the winning contractor must create and manage test and development environments and provide training for initial user groups.
The financial processing system that will be acquired by the DHS will support the Coast Guard, the Countering Weapons of Mass Destruction Office and the Transportation Security Agency.
Work for the DHS will be performed under a potential two-year contract.
The new system will help realize a five-year-old financial services mandate issued by the Office of Management and Budget in 2015 that requires a federal-wide shift to electronic invoicing.
As it stands, the DHS is still catching up with the mandate as its previous financial modernization efforts were deemed inadequate by the OMB.
Interested sources may submit responses to the sources sought notice until Feb. 8.
Category: Future Trends
Tags: artificial intelligence automation Coast Guard Department of Homeland Security DHS electronic invoicing Financial Systems Modernization Program Future Trends machine learning Nextgov sources sought