

Building Safer AI Agents with Orkes Conductor
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AI agents unlock new levels of autonomy and innovation — but as their capabilities grow, so does the need for structure, visibility, and governance. Enter agentic workflows: a better way to orchestrate AI decision-making with visibility, traceability, and control.
In this session, we’ll explore how agentic workflows combine the power of AI agents with the reliability of structured workflows, making it possible to build safer, auditable systems for industries like finance, healthcare, and cybersecurity. You’ll also learn why Orkes Conductor is a smarter, more scalable foundation for agent development compared to tools like LangChain or Graph-based frameworks.
Key Takeaways:
What agentic workflows are — and why they matter for real-world AI systems
Common pitfalls of building with Langgraph-style agents — and how to avoid them
Live demo: Designing your first agentic workflow with Orkes Conductor