Improving Insight Quality for Agentic Analytics
Generative AI has rapidly widened access to enterprise analytics, helping people across an organization explore data and uncover insights. The next shift is agentic AI: systems that can automate workflows and take actions based on what they find. That promise makes the quality of their insights especially important. If an agent’s conclusions are weak or unreliable, the decisions and actions built on them may be too. For businesses looking to bring agentic analytics into everyday operations, expanding automation is only part of the challenge. They also need confidence that agents can produce useful, trustworthy insights before those insights guide consequential work. Raising insight quality is therefore central to making agentic analytics valuable—not simply more autonomous.