Most companies buy AI tools and hope for transformation. A global leader in cybersecurity redesigned work itself.
In less than 6 months, their marketing team trained 75 “trailblazers” and built 57 custom AI teammates (from 211 created during experimentation) now embedded into daily workflows. Now they’re scaling it to more than 150 marketers.
The big difference is they didn’t bolt AI onto existing processes. They architected a layered “AI Network” where humans and AI collaborate by design.
The results speak for themselves. The SDR team is saving 1-3 hours per day per rep with 2-3x better open rates (15% to 40%). Marketing team members are getting back 5-7 hours per week for higher-impact work.
Four key insights that separated their success from companies that struggle:
➡︎ Partner with security from day one → They worked closely with their CISO to ensure every workflow was deployed safely. Security wasn’t a blocker; it was foundational.
➡︎ Build infrastructure, not just use cases → GPT Tracker, AI Navigator, AI Triage System. Simple tools that prevent chaos as you scale.
➡︎ Systems beat tools → As their VP of Marketing Operations and AI transformation champion put it: “We don’t just hand them an AI tool. We give them our decision tree, governance model, and proven workflows.”
➡︎ Measure transformation, not just efficiency → Their SDR operations leader: “We’re not just saving time. We’re doing work that would never get done otherwise. That’s the difference between efficiency and transformation.”
The company built 8 workflow layers (Foundation, Story/Campaign, Domain, Asset, QA, Human-in-the-Loop, Automation) with specialized AI teammates at each level—Audience GPT, Campaign GPT, Product GPT, SEO GPT, and more.
AI tools give you short-term help. Systems give you long-term advantage.
See the full breakdown in this week’s newsletter below.
For those who prefer audio, I’ve also created a 16-minute AI podcast version with two AI hosts (link in comments.)
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