How Agentic AI is changing your analytics and what do to about it - Deloitte

The Deloitte article, "How Agentic AI is changing your analytics and what do to about it," details the transformative influence of Agentic AI on product analytics. It explains how the focus is moving from tracking clicks and page views to monitoring prompts, turns, and tool calls, altering user journeys from linear paths to cyclical, non-deterministic graphs. This shift necessitates new success metrics, such as containment rates, resolution quality, and sentiment, replacing traditional conversion rates. The article also highlights new primary risks including hallucination, misalignment, and "loop-lock," underscoring the continued importance of human judgment and the ability to manage semantic complexity. Deloitte views this transition as the most significant development in digital product analytics since the cookie's invention, asserting that proficiency in conversation analytics will redefine the interaction between human intent and digital execution. Furthermore, it references a strategic framework for performance, optimization, and trust, noting that the economic potential of Agentic AI is projected to reach $52.62 billion by 2030. The piece also introduces Deloitte's Trustworthy AI™ framework, which utilizes metrics like Anticipation Ratio, Forgiveness Factor, and Transparency Score to ensure the trustworthiness of AI agents.