Talkulate AI CPQ on the CPQ Podcast: how mid-market B2B cuts quote friction
R[AI]SING SUN founder Stanislav Chirk joined the CPQ Podcast with host Frank Sohn to talk about how agentic AI changes configure-price-quote for mid-sized B2B companies, and how Talkulate AI CPQ puts that into production.
Five points from the episode:
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Conversational self-service cuts pre-sales friction. Buyers describe complex requirements in plain language and get a precise bill of materials in minutes, without back-and-forth pre-sales meetings.
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Deploy in weeks, not months. Mid-market teams can review a working proof of concept in about one week and reach full production in three to five weeks.
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Accuracy needs a hybrid architecture. AI handles intent and dialogue. Product constraints, BOM rules, and pricing stay in deterministic code and structured databases so configurations stay verified.
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Risk is gated by performance milestones. Engagements split into phases tied to operational KPIs, with contracts that can stop at prototype if agreed targets are missed.
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Buyer-ready website configurators move the commercial needle. A conversational configurator on the corporate site matches how buyers research, with reported fivefold to sixfold increases in website lead conversions.
Full discussion and platform demo: AI-Powered CPQ Explained on the CPQ Podcast
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