Training Session: How to give your AI agents long context powers: building an agent harness
Taking AI agents from proof-of-concept to production is where most enterprises get stuck. In this session, we'll pull back the curtain on how leading organizations are successfully building, deploying, and scaling real-world AI agent use cases with CrewAI — moving beyond demos into measurable business impact.
From initial use case selection to governance frameworks, and cross-functional rollout, I'll walk through the patterns and practices that separate successful enterprise deployments from stalled pilots.
What You'll Learn
How enterprises identify and prioritize high-value AI agent use cases
Strategies for scaling from POC to production with reliability and control
Real-world examples of multi-agent workflows driving business outcomes
How to align technical implementation with stakeholder and compliance requirements
Who Should Attend:
AI and machine learning engineers looking to move AI agent use cases from proof of concept into reliable production systems
Data and platform leaders responsible for deploying and scaling AI capabilities across enterprise teams
Technical decision makers and architects evaluating how to operationalize AI agents with governance, reliability, and control
Founders and startup leaders building AI-native products or exploring how agentic workflows can create differentiated software