Accounts Payable Invoice Automation Solution with AI Integration

A North Carolina-based university is seeking a vendor to provide an accounts payable invoice automation solution with AI integration. The requested solution should streamline and manage the full invoice-to-payment lifecycle while reducing or eliminating manual data entry, accelerating approval workflows, supporting compliance with university and regulatory requirements, and enabling secure, timely vendor payments.

The solution must support both two-way and three-way processing and be capable of reading and extracting invoice data using technologies such as optical character recognition, artificial intelligence, machine learning, and natural language processing. It should include tools to manage confidence levels during invoice ingestion so that more invoices can be processed without user intervention, as well as error-handling mechanisms to address issues during voucher creation.

The university also requires customizable dashboards for real-time analytics and performance monitoring, flexible reporting tools for operational metrics, and an intuitive interface for users to review and correct automatically created vouchers. AI and machine learning capabilities should incorporate user feedback, identify and correct errors and policy violations, adapt to varying invoice formats, and improve processing accuracy over time. The anticipated contract term is three years, and vendor questions are due by July 20, 2026.