To solve this, you can break the system into multiple specialized agents, each with it’s own tools and knowledge base capabilities:
Agent 1 (Handles appointment scheduling) → Uses a calendar tool and booking system to schedule appointments.
Agent 2 (Manages complaint registration) → Has access to a customer support system to log and track complaints.
Agent 3 (Answers FAQs) → Uses a knowledge base to answer frequently asked questions.
Above all, a Primary Agent will act as a controller:
Understands the context of the request
Delegates tasks to the appropriate agent
This approach ensures better efficiency, accuracy, and scalability in handling multiple business tasks.
If your business problem has two or more similar tasks like scheduling appointments, rescheduling appointments, cancelling appointments, etc. First you can try to solve it with Simple AI Agent. If it’s not working then you can try to solve it with Agentic AI Agent.
To create an Agentic AI Agent, you need to follow these steps:
Access the Agent Verbex Dashboard
Create an Agentic AI Agent
You can create an Agentic AI Agent from scratch or you can use a template.
Configure Global Agent InformationTo setup the global agent information, you need to provide the following information:
Company Name: Name of the company you are creating the agent for. (e.g. “Bright Smile Dental”)
Company Background: Background of the company you are creating the agent for. (e.g. “Bright Smile Dental is a dental clinic that provides dental services to patients.”)
Agent Name: Name of the agent you are creating. (e.g. “Emily”)
Welcome Message: Message that the agent will send to the user when they start a conversation with the agent. (e.g. “Hello! I’m Emily, your virtual assistant at Bright Smile Dental. How can I assist you today?”)
Agent Persona: Description of the agent’s personality and role. (e.g. “Emily is a friendly and helpful virtual assistant who can assist with scheduling appointments, registering complaints, and answering FAQs.”)
Call Background: Background of the call. This will be a dynamic information that will be fetched from the call dynamic data.
Prior Knowledge: Prior knowledge of the agent.
Configure the SettingsThis will be similar to the simple agent settings.
Design the Agentic AI Agent using Flow DesignerThis is the main part of the agentic AI agent. Here you can design the flow of the agent.
Go to Edit Prompt Tree
In this designer you can add agents, make connections between agents, add tools, add knowledge base, and more.
Each agent node is editable with the following information:
Agent Capabilities: The capabilities of the agent.