What is the practical answer?
Start with the job you need done. The right choice depends on whether you need a conversation, a predictable sequence of steps or a system that can choose between approved actions.
Use a chatbot for the conversation
A website chatbot can help visitors find service information, understand your policies or get to the right page. The useful starting material is your own approved content and the questions people actually ask.
Decide what should happen when the information is missing. A handoff to your team is often more useful than a confident answer the business cannot support.
Use a workflow when the rules are clear
If every qualified inquiry should follow the same steps, a straightforward automation may be enough. For example, a submitted form can create a contact record and notify the right person.
Define what starts the process, which fields move between systems and how a failed step is noticed. Predictable work does not automatically need an AI model.
Consider an agent for decisions across tools
An AI agent can use approved tools as part of a task. That might involve reading a request, retrieving supporting information and preparing a proposed next action.
Before giving it access, decide which actions can run automatically and which need approval. Start with a narrow task that has a clear stopping point and a result you can check.
- What information is the system allowed to use?
- Which actions can it take, and in whose account?
- When should it stop and ask a person?
- What happens when a connected service fails?
Test the awkward questions too
A useful pilot includes incomplete requests, conflicting information and things the system should refuse to do. Keep a record of failures and agree who maintains the knowledge and integrations.
AI systems can make mistakes. The goal is a useful, testable improvement to a specific part of the work, with limits your team understands.