About Session
A recent report by MIT revealed a staggering truth: 95% of AI projects fail. The reason? Most organizations rely on generic, one-size-fits-all models or try to build internally, which lack the depth and specialization needed to succeed. Industry analysts are also putting a stake in the ground—the future belongs to purpose-built, domain-specific AI designed for targeted use cases, like accounts payable automation.
For AP teams, that means AI-native solutions trained on proprietary data sets and hyper-focused on the challenges of invoice processing and bill pay. Purpose-built AI sits seamlessly alongside the ERP, automating workflows and filling critical process gaps with unprecedented speed, accuracy, and efficiency.
Learning Objectives
- Understand why domain-specific, purpose-built AI consistently outperforms generic models in finance and AP — and what “AI-native” really means in today’s vendor landscape.
- Gain a practical framework for evaluating AI solutions by learning the right questions to ask vendors, how to separate hype from true capability, and how to assess fit for your organization.
- See what success looks like through real-world use cases — discover how leading teams are using purpose-built AI to cut costs, improve accuracy, and transform AP into a strategic driver of ROI.
