The Infrastructure Reality Check: How IT Leaders Are Building Scalable Enterprise Foundations for AI Agents in Customer Engagement
AI agents demand more than your current infrastructure can deliver. Prepare your technical foundation for the conversational AI future with critical insights from exclusive new research conducted by Forrester Consulting, commissioned by Meta.
When optimizing customer communications strategies, 40% of enterprise leaders surveyed struggle with complicated genAI systems integrations, while 41% face data readiness challenges. For IT leaders, the message is clear: AI agents require real infrastructure evolution to succeed at enterprise scale.
Discover how IT organizations are overcoming hurdles that prevent AI success: from building robust data foundations to implementing the observability and traceability systems to manage complex LLM operations. While 73% of enterprises plan to rely on external consultancies for model implementation, the infrastructure decisions remain yours. When so many AI proof of concepts fail to scale, the difference between pilot success and production failure can come down to infrastructure readiness.
To unlock the customer experience possibilities your business wants, get insights from a survey of 598 enterprise executives to inform your AI infrastructure roadmap and technical architecture decisions for 2026 and beyond.
Download the 2025 thought leadership paper, Master Your GenAI Strategy to Accelerate AI Agent Impact in the Enterprise, to help inform enterprise-ready AI agent capabilities today.
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