Most companies talk about AI.

Very few actually implement it in production.

In this episode of Business AI Explained, Vladimir de Ziegler sits down with Alexis d'Eudeville, AI Product Manager at Lemlist, to discuss how AI is being used inside real companies.

Alexis shares practical lessons from building AI products, launching startups, and working at Google.

They explore how AI is transforming product management, sales automation, and go-to-market strategy and why the most important factor is still keeping humans in the loop.

The conversation covers:

• How AI is implemented inside modern sales teams
• The role of generative AI in product management
• Why data quality matters for AI adoption
• How companies can move from experimentation to AI in production
• Practical examples of AI improving marketing and customer success

If you're a founder, operator, or builder trying to understand how AI is actually used inside businesses, this episode breaks down the real strategies behind AI implementation.

Key Topics:

AI implementation in business
AI in product management
Sales automation and RevOps
Go-to-market strategy
AI in production systems

00:00 Introduction – Alexis d'Eudeville & AI at Lemlist
01:45 AI in Business: Why Implementation Matters
05:12 How Companies Are Using AI in Production
08:30 Generative AI for Content and Data Analysis
12:45 Human-in-the-Loop AI and Ethical Considerations
18:20 The Future of AI Tools in Business Workflows
22:15 Real AI Examples in Marketing and Customer Success
27:40 AI Adoption Challenges for Startups and SMEs
31:05 How Companies Can Successfully Implement AI
35:50 Key Takeaways: AI Impact on Business Growth
38:15 Final Thoughts on the Future of AI

Episode length: ~40 minutes

👤 ABOUT THE GUEST

Alexis d’Eudeville

AI Product Manager at Lemlist

→ LinkedIn: https://www.linkedin.com/in/alexis-d-eudeville-348bb858/

→ Company: https://www.lemlist.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.

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 structure
• Rethinking positioning with AI
• Automating workflows without losing originality
• Why trust still matters more than tools
• How expert networks outperform random freelancers
• Where AI creates leverage and where it doesn’t

Tim 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.

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/

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 loops
• Performance marketing as a self-learning loop (campaigns that optimize themselves)
• Why "repo ownership" is now strategic power, the person who controls context controls outcomes
• The 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 custom
• The two internets theory: one for humans (doom scrolling), one for agents (decision-making)
• Why SEO is becoming "programmatic listicles" to game LLMs
• The revenge of the 1950s: why authenticity, friction, and in-person events matter more than ever
• How 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.

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 bankruptcy
• The economics that killed VanMoof 1.0 (low margins, returns, D2C)
• Rebuilding trust through over-delivery, not marketing promises
• Where AI actually fits in hardware companies (support, supply chain, maintenance)
• Why AI should be an operational tool, not a product feature
• Why brand and design matter more as hardware gets easier to build

This 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.

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 GTM
• The 80/20 rule: which AI workflows actually deliver ROI
• Buy 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 models
• Why AI adoption fails even when the tech works
• How to plan AI projects knowing models change every 6–12 months

This 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.