Unlike traditional chatbots that follow scripted decision trees, agentic AI systems can reason about goals, plan multi-step actions, and execute tasks autonomously. In customer service, this means an AI agent can handle an entire customer interaction end-to-end without human intervention.
Key capabilities of agentic AI include tool use (calling APIs, querying databases), reasoning (deciding which action to take), and self-correction (detecting and recovering from errors).
Examples in CRM & Messaging
- AI that qualifies a lead, creates a deal, and assigns it to the right rep
- AI that processes a refund request by checking order history and issuing a credit
- AI that books a meeting by checking calendar availability and sending confirmations