AI Agent

An AI agent is an AI system that can plan steps, call tools, and carry out tasks on its own, rather than just answering single-turn questions like a chatbot.

Picture a 50-person trading company whose support inbox gets a hundred-plus price and shipping-status emails a day: just sorting, cross-checking against the order system, and drafting replies eats up most of a staffer's morning, and things still slip through by month-end. An AI agent can read each email, look up order status, and draft a reply for a human to approve — exactly the kind of 'rule-bound but still language-heavy' work agents are built for, which is why support, document classification, and internal knowledge lookup are the usual starting points. But once an inquiry involves price negotiation or reading a long-time client's relationship and exceptions, an agent alone can't replace that judgment call. On cost, Taiwan's 2026 market roughly splits into three tiers: a single-scenario PoC runs about NT$150k-500k, a department-level rollout about NT$800k-3M, and an enterprise-wide deployment can exceed NT$3.5M, with the gap driven mainly by how many systems it touches and how strict the security review is. The common misconception is assuming an agent can handle any task; one-off, highly creative, or exception-heavy work usually isn't a good fit, so map the use case before buying the technology, or you end up with a system nobody actually uses.