Harness Engineering for Enterprise AI Agents

Hack Session

About the session

Everyone can build an AI agent. Very few can make it reliable, governable, and valuable. With the rise of enterprise AI agents powered by LLMs, organizations are rapidly moving from experimentation to deployment. Yet, most agents fail to deliver sustained business value, not because of model limitations, but due to missing harness engineering.
 
This session goes beyond theory to show how harness engineering transforms AI agents from cool demos into reliable business systems. Through real-world enterprise patterns and hands-on exercises, attendees will learn how to design, evaluate, and operationalize AI agents that make correct decisions, integrate with business workflows, operate safely and predictably, and deliver measurable ROI.

Session Takeaways

- Reframe AI agent development: move from build an agent to design a business system
- Identify high-value agent use cases: bounded workflows vs open-ended tasks
- Design a practical agent harness: tool selection, orchestration, context engineering, guardrails
- Build evaluation and reliability loops: task success metrics, human-in-the-loop checkpoints
- Operationalize for business value: observability, failure handling, continuous improvement loops

Speaker

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