Move beyond simple automation. This guide shows you how to use concrete data to prove the financial impact and value of your agentic workflows.
From completion rates to cost-per-execution, learn which metrics truly matter for understanding and improving your workflow's performance and health.
A practical walkthrough on how to identify bottlenecks, set performance targets, and measure the impact of improvements for any business process.
Traditional monitoring isn't enough for AI agents. Discover new strategies and metrics needed to analyze and validate advanced, multi-step agentic processes.
Learn how to push critical performance data from Analytics.do into platforms like Grafana, Datadog, or Tableau for a unified view of your operations.
Explore why continuous monitoring and data-driven optimization are crucial for maintaining the long-term ROI and efficiency of your automated processes.
Apply the principles of controlled experimentation to your processes. Learn how to test changes, validate hypotheses with data, and deploy improvements with confidence.
Your workflow is only as fast as its slowest dependency. Learn to diagnose performance degradation caused by internal or third-party API calls.
Use performance data and ROI calculations from Analytics.do to effectively communicate the value of process improvement projects to stakeholders and secure buy-in.
Go from data overload to clear actions. Learn techniques for interpreting workflow analytics to prioritize your optimization efforts for maximum impact.