• InsightAgentic AI in Customer Service

  Agentic AI in customer support: when tickets resolve themselves

  Multi-step agent architectures are moving customer support beyond scripted deflection toward genuine autonomous resolution—handling refunds, entitlement checks, and order lookups without human intervention. This piece examines the architecture, the trust patterns, and the operational decisions that separate reliable deployments from expensive failures.

• InsightAgentic AI in Customer Service

  Agentic Customer Support: From Chatbots to Action-Taking Agents

  This insight examines the evolution of customer support from traditional chatbots to agentic AI capable of autonomous actions such as refunds, cancellations, and account updates. It focuses on enterprise needs, evaluating technical capabilities, operational impact, and vendor solutions enabling these action-taking agents.

• InsightAgentic AI in Customer Service

  Closing the Loop: Customer Service Insights Back to Product

  Enterprises increasingly deploy AI to analyze customer service interactions and feed those insights directly into product development cycles. This insight evaluates vendor approaches and strategic considerations for operationalizing closed-loop feedback using AI technologies.