At Sestek, Agentic AI describes AI systems that operate with varying levels of autonomy to resolve customer needs end-to-end, going beyond single-turn responses. Instead of merely answering questions, an agentic system can understand intent, gather information from enterprise systems, plan the next steps, verify decisions, and execute actions—much like a skilled support representative. In Knovvu, AI Agents are at the core of this approach, and when required, they can be blended with traditional NLU or Retrieval-Augmented Generation (RAG) for enhanced capabilities. Depending on the required autonomy, the system may simply assist with responses, guide multi-step tasks, or fully resolve a customer request without human intervention.
Within this model, AI Agents are the building blocks—specialized components that perform focused tasks such as retrieving account details, validating identity, updating CRM records, or summarizing conversations. Each agent is narrow and purpose-driven, while Agentic AI represents the overall orchestration that coordinates these agents, decides when to leverage complementary techniques like RAG or NLU, and determines how much autonomy to apply in a given interaction. This design allows contact centers to create intelligent, compliant, and efficient customer journeys where automation and human support work seamlessly together.