SW-115965 - USA (North Carolina) - AI-Integrated Accounts Payable Invoice Automation Solution - Deadline August 31,2026

(1) Vendor needs to provide Artificial Intelligence (AI) integrated accounts payable invoice automation solution. – Provide Accounts Payable (AP) Invoice Automation Solution with integrated artificial intelligence (AI) capabilities.– Commercially available software solution that streamlines and manages the entire invoice–to–payment lifecycle.– Solution must leverage AI to reduce or eliminate manual data entry, accelerate approval workflows, ensure compliance with university and regulatory requirements, and facilitate secure, timely vendor payments.– Includes, the configuration, integration, testing, implementation, training, support and performance monitoring of an automated invoice processing tool.– Solution must be able to integrate with PeopleSoft.– Solution must be able to handle two and three–way processing.– Solution must be able to read and extract data from invoices, using modern techniques (e.g., optical character recognition (OCR), artificial intelligence (AI), machine learning, natural language processing models, etc.). – Implement error–handling mechanisms for any invoices not able to be processed hands free.– Provide tools to manage confidence level in invoice consumption process so more invoices can be processed without user intervention.– Utilize modern technologies (e.g. OCR, AI, machine learning, and natural language processing) to reach and extract data from transcripts accurately, regardless of document format.– Provide customizable dashboards for real–time analytics and performance monitoring.– Provide an implementation plan that clearly outlines the timeline and resource allocation for the successful deployment of the proposed solution.– Implement machine learning and other AI capabilities to identify and correct errors and policy violations, and to adapt to different invoice formats, improving accuracy over time.– Use AI capabilities to incorporate user–provided feedback to improve performance and accuracy.(2) The contract period will be for three years. (3) All the questions must be submitted no later than July 20, 2026.