Defining and Measuring Success in Agentic AI
The shift to agentic AI requires a new strategic lens. Success is not measured by system outputs, but by business outcomes. This framework provides a multi-dimensional model for defining success, measuring performance, and setting realistic organizational expectations.
Explore the KPI DashboardThe Spectrum of Autonomy
Agency is not a binary switch. Understanding these incremental levels of autonomy—and the corresponding human role—is crucial for strategic planning, risk management, and setting clear expectations.
The KPI Dashboard for Agentic AI
Effective measurement moves beyond simple technical metrics. A balanced scorecard should track performance across four key dimensions to provide a holistic view of an agent's impact. Use the filters to explore the KPIs for each dimension.
Agent Performance Profile
Calculating Return on Investment (ROI)
While KPIs track operational performance, ROI translates this into financial terms. A holistic ROI calculation must account for both tangible benefits like cost savings and intangible value like improved decision quality.
Setting Expectations & Building a Ready Organization
Successful adoption is less a technical challenge and more a test of organizational readiness. Managing hype, fostering a culture of innovation, and establishing robust governance are the most critical determinants of success.