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AI-Integrated Accounts Payable Invoice Automation Solution

North CarolinaNorth Carolina, USADue Monday, August 31, 2026
Client
North Carolina
RFP Number
SW-115965
Posted
6/30/2026
Category
Software, System and Application
Budget
Looking for Proposals
NAICS
Set-aside
Contact

Description

AI Generated

The agency is seeking a commercially available, artificial intelligence integrated accounts payable invoice automation solution to streamline and manage the entire invoice-to-payment lifecycle. The agency needs to solve the problem of manual data entry, slow approval workflows, and potential compliance issues with university and regulatory requirements. The requested solution must integrate with PeopleSoft, handle two-way and three-way processing, and facilitate secure, timely vendor payments. The scope of work covers the configuration, integration, testing, implementation, training, support, and performance monitoring of the automated invoice processing tool. The system must utilize modern technologies, including optical character recognition, artificial intelligence, machine learning, and natural language processing, to accurately extract data from invoices and transcripts regardless of document format. The agency requires the implementation of error-handling mechanisms for invoices that cannot be processed hands-free, tools to manage confidence levels to maximize automated processing, and customizable dashboards for real-time analytics. The selected provider must also deliver an implementation plan outlining the timeline and resource allocation, and utilize machine learning to identify errors, correct policy violations, adapt to different invoice formats, and incorporate user feedback to improve accuracy over time. Eligible bidders must be onshore organizations based solely in the United States. The agency requires all performance of the work to be conducted offsite. Bidders must submit their proposals digitally either via email or through the online system. The agency is looking for proposals to determine the budget for this project. The contract period will span three years. Bidders must submit all questions regarding this opportunity no later than July 20, 2026.

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