AI in Accounts Payable

You’ll gain the confidence to evaluate AI vendors

using real-world metrics like 70% processing

time reduction and 95% accuracy rates. You’ll

identify which capabilities fit your organization

while understanding the literacy, ethical, policy,

and security considerations for each. The course

teaches practical thresholds like needing six

months of data for machine learning or 200+

documents monthly for OCR value.

Most importantly, you’ll understand how the

four pillars work together to create sustainable

AI implementation. Literacy prevents

dependency on black-box systems, ethics

ensures fair vendor treatment, policy maintains

regulatory compliance, and security protects

sensitive financial data. You’ll leave knowing

not just what AI can do, but how to implement it

responsibly with appropriate human oversight

and organizational safeguards

Learning Objectives

• You will be able to define the four core AI technologies transforming accounts payable.
• You will be able to identify the key predictive modeling capabilities used for cash flow forecasting and payment optimization.
• You will be able to recognize the warning signs of AI implementation challenges in accounts payable.
• You will be able to describe how machine learning algorithms detect invoice anomalies and fraud patterns through pattern recognition and behavioral analysis.

Faculty