Tame Your Agent: Build a Secure, Contained Customer Success AI Agent
Blog post from Orkes
In this comprehensive guide, readers are introduced to the process of creating a secure and intelligent AI agent using the Conductor platform, emphasizing the importance of balancing automation power with security. The guide walks through the creation of a "CustomerSuccessAgent" workflow, which is designed to autonomously resolve customer issues or escalate them to a human if necessary. Using the Conductor UI, the tutorial provides a step-by-step approach to building an AI agent with decision logic, memory, and guardrails, highlighting the critical role of security measures such as input/output checks and audit logs to prevent unauthorized actions. The guide distinguishes between AI agents and agentic workflows, explaining that while AI agents pursue broader goals with adaptive decision-making, agentic workflows follow a more structured, task-focused path. The overarching message is the significance of responsibly building AI agents that are both flexible and compliant, ensuring that automation can be trusted as it scales.