AI Agent

A chatbot answers questions. An AI agent books the flight, reschedules the meeting, and sends the confirmation — all in one chain, without a human approving each step.

How agents work under the hood

Most AI agents run on large language models connected to external systems via APIs. The concept is called tool use: the model decides which tool to invoke and when. Not scripted automation, but context-driven decisions.

Three use cases that deliver

Customer support: classify tickets, pull CRM data, draft resolution proposals. Procurement: generate quote comparisons across suppliers automatically. Reporting: extract SAP data, merge sources, compile the report.

The global AI agent market reached $7.6 billion in 2025, growing 40-50% annually. 45% of Fortune 500 companies are piloting agent-based systems.

Frameworks and a word of caution

LangGraph, CrewAI, n8n — the ecosystem is expanding fast. For getting started, we recommend n8n: visual, self-hosted, with a built-in agent node. For complex multi-agent orchestration, we use LangGraph.

Across three client projects, our AI agents reduced repetitive tasks by 60-80%. The key every time: clear guardrails. An agent without boundaries is not an efficiency tool. It is a liability.