CPQ Podcast

The CPQ Podcast is your go-to source for all things Configure-Price-Quote (CPQ). Each episode features in-depth interviews with industry leaders, innovators, and practitioners who share real-world insights, strategies, and success stories. Whether you're in Sales Ops, RevOps, IT, or Product Management, this podcast helps you stay ahead in the evolving CPQ landscape — from CPQ tools and processes to digital selling, product configuration, pricing strategy, and Quote-to-Cash trends.Tune in to expand your CPQ knowledge, explore new solutions, and hear from the voices shaping the future of B2B sales automation.

CPQ Podcast is a business podcast hosted by Frank Sohn, with 422 episodes on record and a Required Pod Score of 80.

Frank Sohn hosts CPQ Podcast, a business show with 422 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #413

  Agentic AI in CPQ and Quote-to-Cash: Where Autonomy Belongs | Sourabh Kukar, Salesforce

  Sep 27, 202632 min

  Copilot, assistant, agent — the terms get thrown around interchangeably, but they describe three very different levels of AI autonomy. So where does agentic AI actually belong in the configure-price-quote process, and where should humans stay firmly in control? In this episode, Frank sits down with Sourabh Kukar, Director of Technical Consulting at Salesforce, where he leads a team of enterprise architects working across Revenue Cloud, Agentforce Revenue Management, CPQ, and H&A solutions for large enterprise customers. Sourabh was named Salesforce's FY24 CMT Technical Architect of the Year, holds 23 industry certifications, and is an IEEE Senior Member. Sourabh brings a rare mix of backgrounds to the conversation — starting as a Java developer, spending a decade as an integration architect, then moving deep into the Salesforce platform in 2019. That combination of coding roots, systems breadth, and platform depth shapes how he thinks about which parts of quote-to-cash are ready for real AI autonomy and which still need deterministic guardrails and human sign-off. Frank and Sourabh also dig into how to architect multiple specialized agents so one agent's bad output doesn't become another agent's bad input, why fixing your data and simplifying your processes matters more than the AI layer itself, and what changes for revenue operations teams as quoting and approvals move into conversational tools like Slack. In this conversation we cover: The real difference between a copilot, an assistant, and an agent — and where Salesforce's Agentforce quoting agent fits Which parts of configure-price-quote are ready for high AI autonomy, and where humans need to stay in the loop How to architect multiple specialized agents so errors don't cascade downstream Why fixing your data and simplifying your processes matters more than the AI layer on top What changes architecturally when quoting and approvals move into Slack A practical framework for choosing phased coexistence over a full CPQ-to-Revenue-Cloud migration If you're a Salesforce CPQ customer evaluating a move to Revenue Cloud, an enterprise architect thinking through agentic AI governance, or a revenue operations leader trying to separate real AI capability from hype, this episode offers grounded, practitioner-level insight from someone building these systems for enterprise customers every day. Learn more: Sourabh Kukar on LinkedIn Don't forget to subscribe on YouTube and your favorite podcast platform. More CPQ research and resources at https://novuscpq.com

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  Episode #412

  From Renewal Reminders to Revenue Automation: Channel CPQ, Agentic AI & the Long Tail | Yagna iQ

  Sep 20, 202648 min

  Renewals are becoming a strategic revenue priority — but why do so many companies still manage them through disconnected systems, spreadsheets, emails, and partner portals? In this episode, Frank talks with Ram Rai, founder & CEO of Yagna iQ, and Manish Agrawal, Co-Founder & CTO , about how recurring revenue and renewal management are changing as companies move toward subscription and lifecycle-based business models. They discuss why renewals become particularly challenging in indirect sales channels, where OEMs, distributors, resellers, and end customers may all participate in the process. Ram and Manish explain Yagna's approach to channel CPQ and renewal automation , including how renewal processes can extend beyond simple expiration reminders to customer onboarding, adoption monitoring, account health, value realization, quoting, and expansion opportunities. They also discuss how Yagna integrates with existing CRM, ERP, and CPQ environments rather than replacing them. The conversation also explores the growing role of agentic AI in renewals and quoting—from processing supplier quotes and automating RFQs to AI-assisted customer outreach—as well as where human oversight, data readiness, integration, and governance remain important. In this conversation we cover: Why renewal management is moving from a transactional process to a strategic revenue discipline Why indirect channels create unique CPQ and renewal challenges across OEMs, distributors, and resellers How Channel CPQ can complement existing vendor-side CPQ systems Where agentic AI, voice agents, and automated quote processing can support renewal workflows Why data cleansing, CRM/ERP/CPQ integration, governance, and human-in-the-loop processes remain important How automation can help address the "Long-tail" of lower-value, high-volume renewals that are often uneconomical to manage manually If you work in CPQ, Revenue Operations, recurring revenue, channel sales, or partner management, this episode provides a useful look at how renewal automation is expanding beyond reminders and traditional quoting — and how AI may change the economics of managing recurring revenue at scale. Learn more: Yagna iQ Yagna iQ AI · Ram Rai on LinkedIn · Manish Agrawal on LinkedIn · Yagna iQ Customer Pulse Report – Recurring Revenue and Renewals in 2026 Don't forget to subscribe on YouTube and your favorite podcast platform. More CPQ research and resources at https://novuscpq.com

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  Episode #411

  Visual CPQ, Engineering Automation, and AI with Scott Heide of Engineering Intent

  Sep 13, 202631 min

  Where does traditional CPQ stop—and where does engineering automation need to take over? In this episode, Frank sits down with Scott Heide, CEO of Engineering Intent, to explore how CPQ can support products that require far more than standard configuration, pricing, and quoting. Scott brings more than 30 years of experience working with engineer-to-order companies, knowledge-based engineering, and sales engineering automation. Returning to the CPQ Podcast for the first time since 2023, Scott explains why customers typically approach Engineering Intent when their products involve complex engineering calculations, dynamic geometry, visual configuration, detailed bills of materials, or automatically generated sales and manufacturing drawings. He also discusses KBridge, Engineering Intent's design automation platform, and how it can connect the commercial CPQ process with the engineering work required to produce a valid custom design. Frank and Scott also examine Engineering Intent's new direct Salesforce integration, its established relationship with ServiceNow, and the growing role of systems integrators in projects that combine CRM, CPQ, and engineering automation. Scott shares how Engineering Intent is using AI to accelerate the capture of product knowledge and design rules—while maintaining the repeatable, deterministic, and documentable outputs required in manufacturing. In this conversation, we cover: Why traditional CPQ solutions may struggle with highly engineered and graphically complex products Where CPQ ends and engineering or design automation begins How KBridge generates dynamic 3D models, visualizations, drawings, calculations, and detailed bills of materials The difference between fixed-geometry visualization tools and parametric models that change dynamically Engineering Intent's new Salesforce integration and how KBridge can work alongside Salesforce Revenue Cloud How AI may reduce the time and effort required to capture and automate product-specific engineering rules Recent capabilities including advanced solid modeling, animation, source merge, and offline runtime Engineering Intent's growing focus on material handling, MEP, precast concrete, and other vertical applications Why systems integrators may need stronger engineering skills to implement advanced design automation successfully What Engineering Intent plans to demonstrate at Dreamforce and other upcoming industry events If you work with engineer-to-order products, visual product configuration, manufacturing CPQ, or complex sales and engineering processes, this episode provides a practical look at how CPQ and design automation can work together across the full lifecycle—from early sales visualization to manufacturing-ready drawings and bills of materials. Learn more about Engineering Intent and connect with Scott Heide on LinkedIn . Don't forget to subscribe on YouTube and your favorite podcast platform. More CPQ research and resources at https://novuscpq.com

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  Episode #410

  From Salesforce CPQ to Agentforce Revenue Management | ShiftLogic.io

  Aug 2, 202631 min

  Salesforce CPQ is officially end of sale — but what does that actually mean for your business, and where do you go from here? In this episode, host Frank sits down with Jamie Trigg and Timo Taipale from ShiftLogic.io to unpack the shift from Salesforce CPQ to Agentforce Revenue Management (ARM), and why this transition is a full revenue transformation, not just a platform swap. Jamie brings nearly 20 years of CPQ experience, from the early days at Big Machines and Steelbrick through a long run in Salesforce Revenue Cloud. Timo shares his journey as a self-described "accidental admin" who chose Revenue Cloud over Steelbrick CPQ during a greenfield implementation, long before joining ShiftLogic.io. Frank, Jamie, and Timo also examine why "end of sale" doesn't mean "end of life," and why experienced CPQ practitioners often find ARM the hardest transition to make — thanks to a deeply ingrained "quote-centric" mindset that doesn't always translate cleanly to a revenue-centric world. In this conversation we cover: Why the real urgency behind ARM adoption comes from customers wanting more capability, not from Salesforce forcing a switch Why experienced CPQ practitioners often struggle most with the shift to ARM How to tackle technical debt and legacy CPQ rules with a "vision lock" approach The difference between engineering CPQ and sales CPQ, and where ARM fits for manufacturing and complex products How AI and Agentforce adoption is accelerating across CPQ and revenue lifecycle management Real customer adoption patterns, typical implementation timelines, and what to expect from a Salesforce CPQ to Revenue Cloud migration If you're a Salesforce CPQ admin evaluating your next move, a revenue operations leader planning an ARM implementation, or simply curious about where CPQ and revenue management are headed, this episode offers grounded, practitioner-level insight from two people who've lived it on both sides of the table. Learn more: ShiftLogic.io · Jamie Trigg on LinkedIn · Timo Taipale on LinkedIn Don't forget to subscribe on YouTube and your favorite podcast platform.

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  Episode #408

  AI-Powered CPQ Explained: Stan Chirk on Building Talkulate AI CPQ

  Jul 19, 202623 min

  Can AI actually replace the sales engineer in complex product configuration — 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 — building AI-first rather than retrofitting AI onto legacy systems — 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 — 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 3–5 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. Stick around for a separate demo video showing Talkulate AI CPQ in action, configuring a real-world "home media server" request from scratch. Learn more about R[ai]sing Sun at https://r-sun.ai/ Contact Stan on LinkedIn at https://www.linkedin.com/in/stani-chirk/

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