The past year has delivered remarkable advances in large language models. Reasoning capabilities have improved. Context windows have expanded. Multimodal inputs are becoming standard. On paper, AI agents have never looked more capable.

Generative AI is changing the game in customer operations—but traditional KPIs like CSAT, AHT, and deflection only tell part of the story. This blog outlines the four critical metric categories that leading organizations are using to measure real GenAI impact: Resolution Rate, Conversation Quality, Time to Resolution, and Containment Rate.

As enterprises race to harness the potential of Generative AI, the spotlight has often been on Large Language Models (LLMs). Yet, an equally transformative shift is happening behind the scenes—one that challenges conventional approaches and rewrites the playbook for AI adoption.

As enterprises race to harness the potential of Generative AI, the spotlight has often been on Large Language Models (LLMs). Yet, an equally transformative shift is happening behind the scenes—one that challenges conventional approaches and rewrites the playbook for AI adoption.