A chatbot is a conversational interface. An AI assistant can answer or draft using information. An AI agent may also use tools to take actions toward a task. A rule-based automation follows a defined sequence. The right choice depends on the work and how predictable its decisions are.
Choose by the task, not the label
If you need to send a fixed confirmation after a form submission, a simple automation may be enough. If customers ask varied questions about your services, a conversational assistant may help. If the system must look up information, prepare a change and pass it for approval, you are planning a more involved workflow. These are different scopes even when they share the same chat interface.
A customer-question example
Imagine a customer asking which service to book. An assistant could retrieve approved descriptions and explain the options. It should have a route to a person when the information is missing or the request is unclear. Actually creating a booking adds availability checks, required details and an integration with the booking system. Answering and booking should not be treated as the same feature.
A content example from our work
Growo combines AI-assisted marketing content with guidance about what businesses can post and how to approach it. Content preparation is a useful starting point because a person can review the draft before publication. The relevant questions include where the facts come from, how the brand sounds and who approves the final content.
Write down the boundaries
For each workflow, identify the source information, connected tools, allowed actions and review point. Decide what happens when a source is out of date, a tool is unavailable or the model is uncertain. An internal draft and a customer-facing message have different consequences. Define the escalation path before calling the project autonomous.
Test whether it is worth expanding
Choose realistic examples, including difficult or incomplete requests. Record time spent before and after the pilot, including correction and review. Include model usage, hosting and integration maintenance in the cost picture. A task that looks fast in a demo may still need substantial review in real work.
Start with one workflow
Choose a recurring task with available information and a clear definition of success. Build a small version, review its behavior and expand only when it is useful. Our AI Lab demonstrates example workflows with preset content; it is a way to explore the idea, not a live system connected to customer accounts.