A chatbot answers one question at a time. An AI agent reasons through a problem — checking context, working through steps, and deciding what to do next — before it ever replies. Basium’s agent runtime is built for that.
Multi-Step Reasoning
The agent breaks a request into steps and works through them, instead of forcing one scripted reply.
Grounded in Your Data
Feed it your docs, FAQs, or a product walkthrough video, and it reasons from that content, not a generic model.
Human Handoff
When a conversation goes beyond what the agent should decide alone, it hands off to a real person — in the same chat.
Guarded by Design
You define what the agent can and can’t do; it stays inside those boundaries.
The agent breaks a request into steps and works through them, instead of forcing one scripted reply.
Feed it your docs, FAQs, or a product walkthrough video, and it reasons from that content, not a generic model.
When a conversation goes beyond what the agent should decide alone, it hands off to a real person — in the same chat.
You define what the agent can and can’t do; it stays inside those boundaries.
A chatbot answers questions with a single reply. An AI agent can reason across multiple steps — looking things up, checking conditions, and deciding what to do next — before responding, which is what people mean by an "agentic" chatbot.
Yes. You can feed it your documentation, FAQs, or even a YouTube walkthrough, and the agent reasons from that content instead of a generic answer.
Yes — Basium supports handoff to a human teammate directly inside the same conversation when a request goes beyond what the agent should decide on its own.
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