
A chatbot is a conversational interface. An AI agent is often described as a system that can use information and tools to carry out a defined task. The categories overlap: a chat interface can connect to an agent, and an agent may work without a customer-facing chat window.
Define the job in plain language
Start with the customer or staff task. Answering approved service questions, collecting enquiry details and preparing an internal summary are different scopes. Write down what success looks like before comparing products or model names.
Separate answering from acting
Reading approved information is different from updating a record or sending a message. List each action separately, the account it uses and whether it needs a person’s approval. Do not give a system broader access simply because an integration supports it.
Prepare the information it needs
An assistant needs accurate service descriptions, policies and other approved material for the task. Agree who maintains that information. Decide how the assistant should respond when a question is outside the material or needs an individual judgement.
Make the handover part of the design
The user should be able to reach a person when the request needs one. Specify what context is passed along and who receives it. Test uncertain answers, missing details, failed tool calls and requests outside the intended scope.
Evaluate the complete workflow
Review representative conversations and actions, not just a polished demonstration. Consider usefulness, incorrect answers, successful handovers, running costs and the team’s ability to supervise the system.
Meeet Creations can help scope a guided assistant or AI workflow around an actual business need. The proposal should identify the channels, approved knowledge, permissions, integrations, testing and ongoing responsibilities before the system goes live.
