AI agent
An AI agent is a software system that perceives a goal, plans steps toward it, takes actions in tools or APIs, and adapts based on results.
An AI agent is a software system built on top of a large language model that can autonomously plan a sequence of steps toward a goal, take actions in the real world through APIs and tools, and adapt based on the results it observes, without a human scripting each step in advance.
In context
AI agents differ from earlier-generation chatbots in three ways. First, they reason about the goal rather than matching templates. Second, they can take actions (look up a record, update a status, send an email) instead of only returning text. Third, they observe the outcome and adjust the next step.
In customer service specifically, AI agents auto-resolve tickets by retrieving the relevant knowledge, drafting the response, executing any required action (refund, status update, account change), and escalating to a human only when confidence is below threshold. The shift from chatbot to AI agent is the architectural transition powering the 2025-2026 wave of customer-service automation.
Forrester's April 2026 analysis notes that "there is zero appetite in this market for fully autonomous agentic applications", meaning enterprises deploy AI agents with human-in-the-loop fallbacks, not unsupervised autonomy.
How Auralis uses AI agent
In the Auralis platform, Autopilot is the AI agent layer that auto-resolves tickets across email, chat, and ticket queues. Confidence thresholds are tuned weekly by the Auralis team, and the Audit module instruments recoverability across every closed conversation.