{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"AI and CPQ: Revenue Cloud, System Integrators, and the Future of Configure Price Quote","description":"With Javed Jafar,&amp;nbsp;CPQ and Billing Expert with 20+ years of experience across enterprise implementations, advisory work, and customer-side transformation programs. How will AI change CPQ for customers, vendors, system integrators, and CPQ professionals? In this episode, Javed shares his perspective on why AI is not replacing CPQ expertise, but changing what good CPQ expertise looks like. Routine configuration work, documentation, testing, and delivery tasks are becoming easier to accelerate with AI tools. At the same time, deep domain knowledge is becoming more important, since customers still need experts who can recognize incorrect AI output, manage complexity, and translate business requirements into scalable commercial processes. Frank and Javed also discuss how AI is changing expectations for system integrators, as customers increasingly expect more value for every professional services dollar \u2014 a shift that may push the market toward fixed-price offerings, reusable accelerators, boutique specialists, and AI-enabled delivery models. They also examine the current business climate around AI adoption, including why many organizations are investing in AI tools but still struggle to demonstrate measurable ROI. In CPQ specifically, Javed sees many companies experimenting with automation and AI assistance, while true agentic CPQ adoption is still in the early stages. In this conversation we cover:  Why AI is changing what good CPQ expertise looks like, not replacing it How AI is accelerating configuration, documentation, testing, and delivery work Why deep domain knowledge matters more as AI output needs expert review How AI is reshaping expectations and pricing models for system integrators The gap between AI investment and measurable ROI in CPQ today The state of agentic CPQ adoption and Salesforce Agentforce Revenue Management The impact of legacy CPQ end-of-sale messaging The shift from rule-based to constraint-based thinking What types of customers benefit most from AI-first, API-driven revenue architecture  If you are a CPQ customer, part of a Salesforce Revenue Cloud team, a system integrator, a CPQ vendor, or a revenue operations leader trying to understand how AI will reshape Configure, Price, Quote over the next few years, this episode offers a grounded, experience-based perspective. Learn more: Javed on&amp;nbsp;LinkedIn ","author_name":"CPQ Podcast","author_url":"http:\/\/www.novuscpq.com","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/42209795\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/204450060"}