Which is better for a small business?

Conversational AI for customer-facing support and sales. Rules-based still makes sense for compliance-heavy flows.

Yes, and you should. Good platforms let you hand off from LLM to rule engine on specific intents.

Conversational AI vs Chatbots: What's the Difference?

By Arden Talbot·May 3, 2026

The difference between "chatbot" and "conversational AI" is real but shrinking. Rules-based chatbots still exist for regulated flows. Everything else has moved to LLM-based conversational AI. This piece explains when the distinction still matters.

Rules-based chatbots

Decision trees, keyword matching, fixed scripts. Good for regulated processes (banking transfers, HIPAA flows) where audit and determinism matter.

Conversational AI (LLM-based)

Large language models with retrieval over your content. Understand paraphrased questions, handle follow-ups, reason about complex asks. What most "AI chatbots" refer to in 2026.

Hybrid

Most production systems blend: LLM handles open-ended conversation, a rule engine takes over for compliance-critical flows (KYC, password reset, refund limits).

Frequently asked questions

Which is better for a small business?: Conversational AI for customer-facing support and sales. Rules-based still makes sense for compliance-heavy flows.
Can I mix them?: Yes, and you should. Good platforms let you hand off from LLM to rule engine on specific intents.