Description
Discover a comprehensive roadmap for transforming your accounts payable function through artificial intelligence.
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.
Presenter: David Hatami Ed.D, EduPolicy.ai/ScholarBar Education LLC
Credits*: AIPB, CPE
Time of program 65 min, 1 pm ET
Date of program September 26, 2026
