Every AP automation vendor claims "industry-leading AI" and "99% accuracy." So why are finance teams still fixing GL coding errors, chasing missing line items, and managing exceptions in spreadsheets?

Most "automated" solutions rely on rigid data extraction models that lock your workflows into fixed logic, unable to adapt as your business evolves, your vendor base grows, or your coding patterns change. For NetSuite users, the stakes are higher: AI living in an external system means managing a second database and fixing sync errors instead of processing bills.

In this 45-minute session, you’ll learn:

• The Accuracy Myth: Why "99% accuracy" often fails in production and how to measure real-world touchless processing rates.
• Adaptive vs; Rigid AI: How Invoice AI learns you specific GL coding patterns over time, continuously improving to fit your business, instead of forcing your processes to fit a static extraction model.
• AI in plain English: Using AI Directions to handle complex edge cases—like foreign language translations or custom field logic—using natural language instead of IT tickets. 
• Eliminating the integration tax: Why processing directly on the native NetSuite Vendor Bill record outperforms external platforms.