AI-Integrated Accounts Payable Invoice Automation Solution
Overview
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SUMMARY
KEY REQUIREMENTS
CONTRACT DURATION
TIMELINE
RFP Issued: June 29th, 2026
Written Questions Deadline: July 20th, 2026
University Response to Questions: August 10th, 2026
Offer Deadline: August 31st, 2026
QUESTION DEADLINE
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
The University Of North Carolina At Chapel Hill
DESCRIPTION
This RFP seeks a commercially available software solution for automating the accounts payable invoice process, integrated with advanced artificial intelligence (AI) capabilities. The proposed solution should streamline and manage the complete invoice-to-payment lifecycle, leveraging AI to minimize manual data entry, expedite approval workflows, ensure adherence to university and regulatory requirements, and support secure and prompt vendor payments.
The scope includes configuration, integration, testing, implementation, training, support, and performance monitoring of the invoice automation tool. The system must integrate with PeopleSoft, support both two- and three-way processing, and utilize modern techniques such as optical character recognition (OCR), machine learning, and natural language processing to accurately read and extract data from various invoice formats. Error-handling mechanisms for non-hands-free invoices and tools to manage confidence levels in invoice consumption should be provided to maximize automation.
Additionally, the solution should feature customizable dashboards for real-time analytics and support an implementation plan clearly outlining the deployment timeline and resource allocation. Machine learning and AI tools should be used for error and policy violation detection, adaptation to different invoice formats, and continuous improvement based on user feedback. The initial contract period is three years.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due August 31, 2026. Questions must be submitted by July 20, 2026.
- Who issued this RFP?
- It was issued by The University Of North Carolina At Chapel Hill. The work is located in Chapel Hill, North Carolina, United States.
- Who is a good fit for this opportunity?
- Experience delivering AI-driven invoice automation solutions
- Deep expertise with PeopleSoft integration
- Proven record in deployment, training, and support for higher education or large public clients
- Strong background in implementing machine learning, OCR, and NLP technologies
- Ability to provide real-time analytics and dashboard customization
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.