WhatsApp chatbot vs AI agent: which do you need?

A chatbot is software that talks with customers through chat. It may follow rules, use AI or connect to other systems. It does not automatically mean a basic menu.

Fixed workflow means the application follows configured steps and conditions. AI agent generally means a model has more control over which steps or tools to use within the application’s limits. Anthropic’s explanation of workflows and agents makes this distinction while recommending simpler approaches when they are sufficient.

Ask what the system can actually read, change and recover from. Memory, integrations and human approval are capabilities to check, not features guaranteed by a name.

Choose a fixed flow when the useful next step is already known. A department menu, a location check or collecting dates for an enquiry can follow explicit rules. Customers should still have a way to correct an answer or reach a person.

The effort is in deciding the questions and exceptions. A flow with too many branches can become difficult to maintain, but adding a model is not the only way to simplify it. You might need fewer questions or clearer service choices.

Use the automation-without-AI worksheet to map the task. In Waaru, these configured conversations are called Logic Flows (Chatbot).

AI can help when people ask the same underlying question in different ways. For example, “Can we arrive early?” and “Will the room be ready before check-in?” may both need the hotel’s early-arrival policy.

The answer still needs a reviewed source. A policy may say early arrival depends on availability; it cannot establish that a particular room is ready. Your team or booking system needs to check whether the room is ready.

Prepare the knowledge base before deciding how freely the system should answer. Include when the information applies and what to do when it does not cover the request.

A live order lookup needs a connection to the order system. Changing a booking requires permission to make the change and confirmation that it succeeded. Either task could sit inside a fixed workflow; a tool call alone does not make the whole system an agent.

An agent can be useful when the customer’s request determines which permitted step comes next. That flexibility brings more cases to test: an ambiguous request, an unavailable tool or a result that does not support an answer.

Read the tools and actions explanation before choosing integrations. Check the exact operation you need rather than relying on a connector logo.

Write down one task and answer these questions. Use the answers to decide what you need from a product.

Take a hotel enquiry. A fixed step collects dates and guests. An AI step may explain the reviewed check-in policy. A permitted tool could check live availability if that operation is supported. A person handles a special arrangement the system cannot confirm.

This example shows how the steps could fit together. Check which steps your chosen platform supports. Read the hotel guide for the business journey and check which actions your booking system’s integration supports. For a service business, the sales workflow example shows where a quote needs human ownership.

Compare the full task, including the work after something goes wrong. Ask how a person takes over, how the team sees a failed action and what happens when the knowledge source is incomplete. Use the test guide to make those questions concrete.

Check costs separately. Waaru’s platform is free; AI features are paid. Pricing explains the costs. Also check applicable Meta messaging charges and any external services your workflow uses.

Start with the simplest approach that handles your task and its exceptions. Add flexibility when the examples show you need it.