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This is a follow-up video to take a deeper-dive look into how my IBM Generative AI with IBM Business Automation Demo works. I'll walk thru how I built the virtual assistant using IBM's watsonx Assistant including enabling a free telephone service and customization of the text-to-speech voice service. Then I show how to expose the IBM Business Automation Workflow (BAW) process template running on IBM Cloud Pak for Business Automation (CP4BA) that is hosted on the IBM Red Hat OpenShift Kubernetes Service (ROKS) in the IBM Cloud Multi-zone-region (MZR) in Dallas Texas. Once this Business Process Modeling Notation (BPMN) process is exposed as a RESTful service, I walk thru how that is imported into IBM watsonx Assistant and how I use the low-code wizardry of IBM watsonx Assistant to choose the data to send to BAW for placing the order. Additionally, I'll show how I experiment with IBM's Granite Large Language Model (LLM) within the IBM watsonx.ai service using the prompt lab UI before calling IBM watsonx.ai from IBM watsonx Assistant once I'm happy with my one-shot prompt experiment. I paste this one-shot text into my invocation to watsonx.ai from watsonx Assistant and display the generated custom pizza description to the user. Disclaimer: The postings on this site are my own and don't necessarily represent IBM's positions, strategies or opinions.