{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"AI-Powered CPQ Explained: Stan Chirk on Building Talkulate AI CPQ","description":"Can AI actually replace the sales engineer in complex product configuration \u2014 without sacrificing accuracy? In this episode of the CPQ Podcast, host Frank sits down with Stanislav "Stan" Chirk, founder of R[ai]sing Sun, an EU-based AI solutions company building custom AI agents for B2B companies. Stan walks us through his journey from engineering and entrepreneurship into the world of Configure, Price, Quote (CPQ), and how that combination led him to found R[ai]sing Sun just over a year ago. We dig into the company's "AI-native" philosophy \u2014 building AI-first rather than retrofitting AI onto legacy systems \u2014 and their guiding principle: no AI for the sake of AI. The conversation centers on R[ai]sing Sun's flagship product, Talkulate AI CPQ, a self-service configurator that guides buyers through complex product decisions and delivers instant, accurate quotes \u2014 no sales engineer required. Frank pushes Stan on one of the biggest questions in AI-driven CPQ: how do you guarantee deterministic, repeatable outputs when generative AI is involved? Stan explains how structured product databases and rule-based logic keep quote generation accurate, even while the upfront sales conversation stays flexible. You'll also hear about R[ai]sing Sun's phased delivery model (including a bold promise to walk away from projects that don't hit KPIs), a typical 3\u20135 week go-live timeline, their traction in medical and engineering industries, and how AI-native CPQ stacks up against established, traditional platforms. Whether you're a CPQ practitioner, a sales operations leader, or simply curious about how AI agents are reshaping B2B quoting and configuration, this episode offers a grounded, practical look at where AI-powered CPQ is headed.   \ud83c\udfa5 Stick around for a separate demo video showing Talkulate AI CPQ in action, configuring a real-world "home media server" request from scratch. \ud83d\udd17 Learn more about R[ai]sing Sun at https:\/\/r-sun.ai\/  \ud83d\udcec Contact Stan on LinkedIn at https:\/\/www.linkedin.com\/in\/stani-chirk\/   ","author_name":"CPQ Podcast","author_url":"http:\/\/www.novuscpq.com","html":"