Customer lookup
Matches customers by name, email, or phone before taking action.
Bob's Bots is a live demo of a customer-facing AI agent built around a real workflow. It shows how an AI agent can answer questions, support intake, help with scheduling, and keep customer interactions moving.
This demo shows how an AI agent can support a real business workflow by helping with common customer and scheduling tasks.
Rather than acting like a generic chatbot, the assistant is built around a real workflow with clear business logic and guardrails.
Matches customers by name, email, or phone before taking action.
Books, updates, and cancels appointments with clear confirmation.
Checks supported booking windows before offering times.
Responds to business questions using supported knowledge instead of guessing.
Requires confirmation before important or destructive actions.
Keeps answers within supported information and routes when the workflow needs help.
Bob's Bots is simple on purpose. The point is not to show a flashy chatbot — it is to show how an AI agent can follow a real workflow with clear rules, confirmations, and fallback behavior.
The agent is built around what the business actually supports, instead of answering every question like an open-ended chatbot.
It collects the right details before helping with booking, rescheduling, cancellations, or customer questions.
The agent confirms actions before making changes that could affect an appointment or customer interaction.
When a request falls outside the supported flow, the agent can stop, clarify, or hand off instead of guessing.
This type of AI agent can be adapted for businesses that need help with customer service, service intake, scheduling, lead capture, or follow-up support. The same underlying pattern can also be adapted for internal assistants, scheduling assistants, and personal AI assistants connected to the tools a business already uses.
The important part is not the chatbot interface — it is the workflow logic behind it.
Bob's Bots is a demo, but the same approach can be adapted to real businesses that need better customer support, structured intake, scheduling, or workflow assistance.