What's the difference between an AI agent and a chatbot?
Answers from the sources
Kansoft Solutions
“A chatbot answers questions in a conversation window. An AI agent takes actions: it calls APIs, queries databases, writes files, sends emails, and executes multi-step plans. Agents use an LLM as a reasoning engine but connect it to tools that interact with the real world.”
Sourcekansoftware.com
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Related reading
- Do we need to have our data in order before engaging you?
- Can agents work with our existing enterprise systems?
- What do we own at the end of the engagement?
- How do you prevent agents from taking harmful actions?
- Will AI-generated code pass our security review?
- What does custom AI development involve?
- Is this engagement only for large enterprises?
- How do you ensure AI tools don't expose our proprietary code?
- Which LLM do you use for agents?
- How do you move an AI solution from pilot to production?
- How do you handle regulatory compliance in the strategy?
- Can you work with our existing CI/CD pipeline?
- Our engineers are skeptical of AI tools — how do you handle adoption?
- How long does an AI strategy engagement take?
- What types of enterprise AI solutions does Kansoft build?
- Kansoft Solutions — company guide
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- Published
- 2026-10-24
- Modified
- 2026-10-24
- ready-scan-subjects/Q140263984
- revision Q140263984:content:50cc7041966ab284