TuringPulse serves as a comprehensive control plane for AI agents, designed to facilitate the evaluation, governance, monitoring, and coordination of AI operations across various industries such as finance, healthcare, e-commerce, and more. This tool provides a robust framework for organizations to deploy AI agents with confidence, ensuring that they operate efficiently and adhere to compliance standards. Key features include the Trace Explorer, which allows users to replay every step of agent execution and visualize workflows in a Directed Acyclic Graph (DAG) format. Users can inspect every LLM call, tool invocation, and retriever query, enabling detailed analysis of inputs, outputs, latency, and costs. The Evaluation feature scores agent outputs for quality and consistency, running automated checks against custom rubrics to track accuracy and safety. TuringPulse also offers a Policy Engine that enforces governance rules in real-time, allowing organizations to define rules agents must follow and manage data flow into the platform with pipeline controls. Additionally, the tool includes KPI Dashboards for real-time performance visibility, drift detection to monitor behavior shifts, and customizable alert channels to notify stakeholders of anomalies. TuringPulse is ideal for enterprises looking to implement AI solutions while maintaining oversight and compliance.