AI agents and chatbots: choosing the right fit
Compare conversational assistance with agents that use company knowledge and tools. Consider the task, available context, action scope, and review requirements.
The finish line is different
Conversational tools help people ask questions and develop ideas. Agents can carry a task through multiple steps: assemble a renewal brief, prepare an exception review, draft a customer reply, or propose a system update. Capabilities vary by product and configuration.
Both can use language models. The product shape is what changes. An AI agent is measured by completed operational work, not by how long the chat continues.
Systems, not just prompts
For cross-system work, check which tools the product can use, what information it can retrieve, and which actions it can take. Company knowledge and access rules matter as much as the model when the work depends on internal documents and records.
- Chatbot: answers and drafts in a conversation
- AI agent: searches tools, completes steps, prepares outputs
- AI agent: asks for approval before important actions
- AI agent: can update connected systems after review
Control stays with people
Sending a customer message, changing a financial record, or accepting a contract clause should not be silent. An AI agent pauses at defined points, shows the proposed action, and keeps a run history your team can review.