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/

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New episodes every Tuesday.