Agent Logging provides a unified logging framework for AI agent frameworks and custom workflows. It intercepts and records each stage of an agent’s execution—prompt generation, tool invocation, LLM response, and final output—along with timestamps and metadata. Logs can be exported in JSON, CSV, or sent to monitoring services. The library supports customizable log levels, hooks for integration with observability platforms, and visualization tools to trace decision paths. With Agent Logging, teams gain insights into agent behavior, spot performance bottlenecks, and maintain transparent records for auditing.

ATCCloud is an AI-driven platform designed for proactive business process management. It delivers insights and analytics to identify and address deviations and inefficiencies in workflows. By leveraging advanced algorithms, ATCCloud predicts potential failures, enables real-time corrections, and ensures smooth business operations. The system is tailored to help businesses optimize performance, reduce downtime, and enhance overall productivity through continuous monitoring and automatic adjustments.

IBM Task Mining is a powerful tool designed to discover, monitor, and analyze user interactions on desktops. By capturing detailed frontend activities, it provides insights into workflows that help organizations identify inefficiencies and improve productivity. This tool plays a crucial role in the broader context of process mining, assisting users in understanding how tasks are performed, where they can be optimized, and ultimately driving automation efforts.