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Conversational agent vs AI chatbot: which to choose for your support?

A conversational agent and an AI chatbot don't play in the same league. A clear comparison, selection criteria and pitfalls to avoid.

Conversational agent vs AI chatbot: which to choose for your support?

The vocabulary has exploded: chatbot, AI chatbot, conversational agent, AI agent, deep agent. Behind the words lie very different realities. Here's a clear comparison to choose the right approach for your support.

Classic chatbot: the decision tree

The classic chatbot follows a pre-written scenario: buttons, menus, predefined replies. Reliable on anticipated cases, but stuck as soon as the customer phrases things differently. It doesn't understand, it redirects.

AI chatbot: free-form understanding

The AI chatbot understands free phrasing thanks to a language model. It answers varied questions better, but often stops at the reply stage: it doesn't query your systems and doesn't act. It improves experience, not resolution.

Conversational agent: understand, decide, act

A conversational agent understands the request, picks the right action and executes it: it queries your APIs, verifies identity, triggers the operation and hands off to an advisor with context. It's the first generation that truly resolves cases.

AI agent and deep agent: execution depth

An AI agent adds the ability to reason over several steps and call tools. A deep agent goes further: it chains several reasoning steps and several tool calls through to full resolution, with guardrails and human handoff. That's the Deep Agent Studio approach.

How to choose

  • Low volume, highly varied cases: an AI chatbot is enough.
  • Medium volume, repetitive intents verifiable via API: a conversational agent.
  • High volume, multi-step flows, sensitive actions: a deep agent with identity verification and handoff.

In every case, plan the path to a human advisor and measure no-handoff resolution.

Pitfalls to avoid

  • Promising a resolution the tool can't deliver: measure resolution rate, not reply count.
  • Forgetting identity verification on sensitive actions.
  • No human handoff: always plan the path to an advisor with context.
  • Robotic messages: write short, with time, amount and ticket number.

FAQ

Can an AI chatbot become a conversational agent? Yes, by adding the ability to call tools and act in your systems, under guardrails.

Which channel to start with? WhatsApp Business if your customers already write there, or the web widget to test without commitment.

How many intents to automate first? One, high-volume and verifiable via API. Expand afterwards.

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