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What is the difference between AI agents and chatbots?
Action vs conversation
AI agents execute tasks. Chatbots have conversations. In B2B commerce, AI agents read an order from email and post it to the ERP without dialogue. Chatbots ask the buyer to clarify, then defer the action to a human. Execution beats conversation when the goal is a completed transaction.
AI agents vs chatbots in depth
Key terms
- Action
- An AI agent’s commit in a system of record.
- Conversation
- A chatbot’s response in text or voice.
- Validation
- Checking inputs against ERP master data.
- Tool use
- Calling APIs to change state in real systems.
- Routing
- Sending an item to a human when policy requires.
Proof points
- Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).
- 30B+ B2B transactions executed across the Go Autonomous customer base.
- Danfoss onboards new countries in 1 day instead of months.
- 60 percent throughput per employee gain on autonomous channels.
Frequently asked questions
When is AI agents the right fit?
Choose this side for narrow, well-defined work where inputs are structured and the rules are stable. It scales linearly with volume and breaks when inputs drift outside the script.
When is chatbots the right fit?
Choose this side for work with unstructured input, exceptions, and decisions. It scales with data and feedback rather than with people, which is why it outperforms once volume and variance rise.
Can both approaches coexist?
Yes. Many manufacturers run both during the transition. The structured path keeps running on the older approach while the long tail moves to AI agents. Plan a 12-month convergence.
AI agents vs chatbots in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
AI agents vs chatbots in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
