
How to Scale Your AI Agency (Forward Deployed Engineer Model Breakdown)
Liam Ottley16 June 2026Watch on YouTube
Part of series
Ep. 12 · Agents Brain Company
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📚 Grab Brandon’s board in the #1 community for AI entrepreneurs: https://bit.ly/4rmeaeP 📈 Become a Wildly Profitable AI Entrepreneur: https://bit.ly/4rw2syC 🤝 Ready to transform your business with AI? Let's talk: https://bit.ly/4qRjkzz 📋 Get our FREE 14-day playbook for finding high-impact AI opportunities in any business: https://bit.ly/14-day-playbook- Most AI agencies are stuck chasing new clients while the real money is in going deeper with the ones they already have. In this video, I sit down with Brandon Wong to break down the Forward Deployed Engineer model — the same approach that helped Palantir become a $50B company — and how he's applying it to scale his AI agency with zero ad spend. We cover how embedding directly inside client operations unlocks deals that remote pitches never could, why starting with simple automations beats selling complex AI agents, and how to structure long-term partnerships where clients become collaborators instead of just invoices. If you're building an AI agency and want a model that compounds instead of constantly restarting, this one's for you. Connect with Brandon: https://www.linkedin.com/in/bwong5995/ ⏱️ Timestamps: 00:00 What We're Covering 01:06 Palantir-style FDE for agencies 05:17 From one-offs to retainers 09:12 GTM without ads 19:54 Prototypes that close 33:51 Proving ROI and the product path
What you'll learn
- The Forward Deployed Engineer model from Palantir helps AI agencies go deeper with existing clients rather than constantly chasing new ones
- Embedding directly inside client operations unlocks larger deals than remote pitches, because you become a partner instead of a vendor
- Simple automations are a better starting point than complex AI agents, because they show value faster and build trust
- Long-term partnerships where clients become collaborators instead of invoices create compounding growth without repeated customer acquisition