Adam Wardel: AI Can Build It. But Can Your Company Defend It?

AI just made it possible for almost anyone to build their own revenue technology. But that doesn't necessarily mean they should.

In this episode of the Go-To-Market Podcast, Amy Osmond Cook, CMO and co-founder of Fullcast, sits down with attorney, chief legal officer, and technology advisor Adam Wardel to tackle a growing question for revenue teams: Where should you build with AI, and where does DIY become a business risk?

Wardel walks through the risks that can hide behind homegrown AI systems, from intellectual property and sensitive data to regulatory exposure and systems that change over time. And he raises one deceptively simple question every AI builder should answer:

What happens if it fails?

For Adam, the answer isn't to stop building. It's to know what to build, what to buy, and where human judgment still belongs.

In this episode: The rise of the "Claude Cowboy" and DIY AI

Hidden IP, data, privacy, and compliance risks

Why AI can create exposure across geographic borders

The questions to ask before deploying an AI system

Why human oversight still matters

How RevOps leaders should approach build vs. buy

Why "buy the infrastructure, build the intelligence" may be a smarter approach to AI