Business AI Explained

Vlad

Business AI Explained is a podcast for founders and go-to-market teams who want to understand how AI creates real business impact. Hosted by Vlad de Ziegler, the show features conversations with builders, operators, and revenue leaders implementing AI in sales, marketing, RevOps, and customer success. Expect real examples, real constraints, and clear lessons from AI in production, not theory.

Episodes

  1. AI in E-Commerce: Automation, Positioning & Trust (with Tim Masek, Storetasker)

    2 DAYS AGO

    AI in E-Commerce: Automation, Positioning & Trust (with Tim Masek, Storetasker)

    AI in e-commerce is transforming automation, positioning, and trust for modern online brands. In Episode 4, I sit down with Tim Masek, CMO of Storetasker, to break down how AI is actually being used inside real e-commerce businesses. Not demos. Not theory. Real execution. We cover: Using AI for copywriting and site structureRethinking positioning with AIAutomating workflows without losing originalityWhy trust still matters more than toolsHow expert networks outperform random freelancersWhere AI creates leverage and where it doesn’tTim shares how AI has become indispensable in strategic work saving thousands in external consulting and accelerating execution. If you run an e-commerce brand or care about practical AI adoption, this episode gives you a grounded view of what’s actually working. Episode length: ~49 minutes 👤 ABOUT THE GUEST Tim Masek CMO of Storetasker → LinkedIn: https://www.linkedin.com/in/timmasek/ → Company: https://www.storetasker.com/ 🔗 WORK WITH VLAD If you’re implementing AI in your operations and want hands-on help building real workflows: 👉 https://www.elementsagents.com/ 🔔 SUBSCRIBE → Linkedin: https://www.linkedin.com/in/vladeziegler/ → AI with Vlad: https://www.youtube.com/@aiwithvlad Watch the full video version on YouTube: https://www.youtube.com/@aiwithvlad New episodes every Tuesday.

    49 min

  2. SEASON 1 TRAILER

    Business AI Explained - How AI Actually Gets Implemented in Companies (Trailer)

    Business AI Explained is a podcast about how AI actually gets implemented inside real companies. I’m Vlad Ziegler, founder of Elements Agents.  For the past two years, I’ve helped companies move from “we want to use AI” to actual production systems that drive measurable ROI. Every conversation starts the same: “We want to use AI. We just don’t know where to begin.” The gap isn’t technical knowledge. It’s operational knowledge: → What actually works in production? → What breaks after launch? → What’s the realistic ROI timeline? → How do teams structure AI internally? → What mistakes cost companies months? This podcast is about real implementation stories. No hype. No theory. No futurism. Just operators sharing what they built, what failed, and what worked. Launching February 24th with three episodes: → Abraham Gomez (Google) on AI in GTM → Eliott Wertheimer (VanMoof CEO) on rebuilding after bankruptcy → David Arnoux on structuring AI GTM teams New episodes every Tuesday. Subscribe now so you don’t miss the launch. 🎥 Watch full episodes on YouTube:  https://www.youtube.com/@aiwithvlad 🌐 Learn more about Elements Agents: https://www.elementsagents.com/ 🔗 Connect with Vlad on LinkedIn: https://www.linkedin.com/in/vladeziegler/

    27 sec
  3. GTM AI Teams: The 3:1 Dev Ratio (And Why It Works) - David Arnoux

    23 FEB

    GTM AI Teams: The 3:1 Dev Ratio (And Why It Works) - David Arnoux

    GTM AI teams break down the moment you try to scale beyond a few workflows into real operations. David Arnoux is a fractional GTM AI strategist who sits inside companies building AI implementation, not just advising.  He runs Gen AI Circle (400+ heavy AI adopters) and has worked with scale-ups and enterprise companies transforming their go-to-market teams with AI. In this episode of Business AI Explained, we break down how AI-native GTM teams actually work, what the team structure looks like, and why the best ones now run a 3:1 ratio of developers to marketers. We cover: How to audit a company's AI readiness (and the red flags that mean they're not ready)The maturity levels of AI implementation: from basic prompting to autonomous loopsPerformance marketing as a self-learning loop (campaigns that optimize themselves)Why "repo ownership" is now strategic power, the person who controls context controls outcomesThe 3:1 developer-to-marketer ratio in cutting-edge GTM teams (and why AI is literally the third team member)Buy vs. build framework: when to use off-the-shelf tools vs. building customThe two internets theory: one for humans (doom scrolling), one for agents (decision-making)Why SEO is becoming "programmatic listicles" to game LLMsThe revenge of the 1950s: why authenticity, friction, and in-person events matter more than everHow to work remotely while transforming companies (90% remote, 10% in-person)This conversation is for CMOs, CROs, GTM leaders, and operators who need to figure out how AI actually fits into their team structure, not just tools, but people. Episode length: ~45 minutes 👤 ABOUT THE GUEST David Arnoux  Fractional GTM AI Strategist | Founder, Gen AI Circle Works with scale-ups and enterprise companies on AI GTM transformation.  Builds ventures through Humanoids studio (including ViralBrain.ai) → LinkedIn: https://www.linkedin.com/in/davidarnoux  → Company: https://www.heyarnoux.com/ → Community: https://www.thegenaicircle.com/ 🔗 WORK WITH VLAD If you’re implementing AI in your operations and want hands-on help building real workflows: 👉 https://www.elementsagents.com/ 🔔 SUBSCRIBE → Linkedin: https://www.linkedin.com/in/vladeziegler/ → AI with Vlad: https://www.youtube.com/@aiwithvlad Watch the full video version on YouTube: https://www.youtube.com/@aiwithvlad New episodes every Tuesday.

    39 min
  4. AI in Operations for Hardware Companies - Eliott Wertheimer, VanMoof CEO

    23 FEB

    AI in Operations for Hardware Companies - Eliott Wertheimer, VanMoof CEO

    AI in operations for hardware companies looks very different from AI in software, especially after a bankruptcy. Eliott Wertheimer is the CEO of VanMoof, the iconic European e-bike brand rebuilding after bankruptcy. In this episode of Business AI Explained, we explore AI in operations for hardware companies and what it takes to rebuild trust, reliability, and economics in a physical product business. We cover: Why VanMoof’s brand survived bankruptcyThe economics that killed VanMoof 1.0 (low margins, returns, D2C)Rebuilding trust through over-delivery, not marketing promisesWhere AI actually fits in hardware companies (support, supply chain, maintenance)Why AI should be an operational tool, not a product featureWhy brand and design matter more as hardware gets easier to buildThis episode is for founders, operators, and product leaders working on hardware, consumer brands, or complex operations and trying to apply AI without breaking trust. Episode length: ~40 minutes 👤 ABOUT THE GUEST Eliott Wertheimer CEO of VanMoof Former McLaren (Lavoie), founder of Fuero Systems Aerospace engineer turned hardware operator → LinkedIn: https://www.linkedin.com/in/eliott-wertheimer-6910a1b6/ → Company: https://www.vanmoof.com/ 🔗 WORK WITH VLAD If you’re implementing AI in your operations and want hands-on help building real workflows: 👉 https://www.elementsagents.com/ 🔔 SUBSCRIBE → Linkedin: https://www.linkedin.com/in/vladeziegler/ → AI with Vlad: https://www.youtube.com/@aiwithvlad Watch the full video version on YouTube: https://www.youtube.com/@aiwithvlad New episodes every Tuesday.

    43 min
  5. AI Implementation in Go-To-Market (GTM) - Abraham Gomez, Google

    18 FEB

    AI Implementation in Go-To-Market (GTM) - Abraham Gomez, Google

    AI implementation in go-to-market (GTM) breaks down the moment it moves from demos into real teams. Abraham Gomez is a Strategic Startups Customer Engineer at Google, where he has advised 400+ founders on AI implementation in go-to-market (GTM) teams.  In this episode of Business AI Explained, we break down how AI actually gets implemented inside sales, marketing, and GTM operations and why most teams struggle once AI moves beyond experimentation. We cover: How to choose your first AI implementation in GTMThe 80/20 rule: which AI workflows actually deliver ROIBuy vs. build decisions for AI tools (including when not to use Google’s)Accuracy vs. precision in AI systems, and why domain expertise matters more than modelsWhy AI adoption fails even when the tech worksHow to plan AI projects knowing models change every 6–12 monthsThis conversation is for founders, COOs, RevOps leaders, and operators who need AI to work inside real GTM teams, not just look good in demos. Episode length: ~50 minutes 👤 ABOUT THE GUEST Abraham Gomez Strategic Startups Customer Engineer at Google Works with startups implementing AI in GTM, operations, and core workflows. → LinkedIn: https://www.linkedin.com/in/goabego/ → WhoInvitedAbe Podcast: https://www.youtube.com/@WhoInvitedAbe → Website: https://goabego.com/ 🔗 WORK WITH VLAD If you’re implementing AI in your operations and want hands-on help building real workflows: 👉 https://www.elementsagents.com/ 🔔 SUBSCRIBE → Linkedin: https://www.linkedin.com/in/vladeziegler/ → AI with Vlad: https://www.youtube.com/@aiwithvlad Watch the full video version on YouTube: https://www.youtube.com/@aiwithvlad New episodes every Tuesday.

    57 min

Trailer

About

Business AI Explained is a podcast for founders and go-to-market teams who want to understand how AI creates real business impact. Hosted by Vlad de Ziegler, the show features conversations with builders, operators, and revenue leaders implementing AI in sales, marketing, RevOps, and customer success. Expect real examples, real constraints, and clear lessons from AI in production, not theory.

Information

  • Creator
    Vlad
  • Years Active
    2K
  • Episodes
    5
  • Rating
    Clean
  • Copyright
    © 2026 Business AI Explained
  • Show Website
    Business AI Explained