Finally Launch AI: A Blueprint for Enterprise Teams

Overcoming the IT & Marketing Standoff to Deploy Real-World AI

Everyone wants to use AI. Getting it into production is the hard part.

Marketing wants to move quickly. IT needs confidence that security, governance, and performance won’t be compromised. Too often, those competing priorities keep AI initiatives stuck in planning. Join Luke Patterson, Sr. Product Manager at WP Engine, and Ellis LaMay, Director of WordPress Operations at Americaneagle.com–one of the world’s leading digital agencies–for a practical, hands-on session built from real enterprise web hosting services experience.

Ellis brings the agency perspective: what it’s like to guide enterprise brands through the governance standoff and come out the other side with secure AI running in production. Luke brings the platform depth: a live demo of the WP Engine AI Toolkit showing exactly what’s possible today on an enterprise hosting architecture. 

Together, they’ll show you what an AI-ready website actually looks like, demonstrate the technology behind it, and share an execution playbook your team can start using on Monday morning.

Key takeaways

• Understand what “AI-ready” really means: Learn the technical and organizational foundations teams need before implementing AI.
• See What an AI-Ready Website Can Do: Watch a live demonstration of the WP Engine AI Toolkit and the architecture that powers AI-enabled experiences.
• Leave with a Practical Action Plan: Walk away with a practical framework your IT and marketing teams can use to move AI initiatives forward.

Featured speakers

Best for:

• IT Decision Makers & Technical Leaders who need a secure, compliant framework to evaluate AI integrations and protect data privacy without restricting marketing agility.
• Developers & Architects looking for modern web hosting that offloads AI processing, handles semantic indexing, and preserves core site performance.
• Digital Marketers & Product Teams who want to leverage advanced features like smart search and automated recommendations but need a concrete path to cross-functional sign-off.