AI Agent
An AI Agent is an AI system that can understand goals, analyze context, plan tasks, use authorized tools, and perform one or more actions to complete a specific task.
Unlike traditional chatbots that primarily respond to conversations based on predefined scripts, an AI Agent can move from understanding a request to taking action within a specific workflow.
Components of an AI Agent
An AI Agent typically combines several components:
- AI Model: Analyzes requests, reasons over information, and generates the next decision or action.
- Context: Provides information about the customer, task, interaction history, or current workflow state.
- Planning: Breaks a goal into smaller steps and determines the order in which they should be executed.
- Memory: Retains information needed across steps or interactions.
- Tools & Actions: Allows an AI Agent to retrieve data, call APIs, update CRM records, send notifications, or perform other authorized actions.
- Human Handoff: Transfers a task to a human employee when it exceeds the system's permissions or requires human approval.
How Does an AI Agent Work?
An AI Agent workflow typically begins when the system receives a goal or request. The AI Agent analyzes the relevant context and data, determines the steps required, and then uses authorized tools to execute those steps.
After each action, the system can evaluate the result and either continue, adjust its plan, or hand the task off to a human when an exception is detected.
For example, in Sales, an AI Agent handling new leads can receive information from a form, check customer data, determine lead fit, update the CRM, and route the lead to the appropriate sales representative. The specific steps depend on the available data, business rules, and access permissions configured for the system.
Traditional Chatbot vs AI Agent
| Criteria | Traditional Chatbot | AI Agent |
|---|---|---|
| Goal | Primarily responds to conversations | Completes a specific task or goal |
| Processing | Follows predefined scripts or generates AI responses | Can plan and execute multiple steps |
| Tools | Usually limited | Can use authorized APIs and systems |
| Actions | Primarily provides information | Can perform actions |
| Exceptions | Often requires human handoff | Can adjust its process or hand off to a human based on the system design |
When Should You Use AI Agents?
AI Agents are suitable for processes with clear goals, multiple steps, data retrieval requirements, and controllable actions. Common use cases include:
- Lead qualification and routing.
- Sales and product advisory.
- CRM data updates.
- Customer Service request handling.
- Workflow orchestration across multiple systems.
- Automated execution of repetitive tasks with clearly defined rules.
AI Agents are an important component of enterprise AI systems, where AI, data, tools, workflows, and human control are connected to turn reasoning capabilities into controlled, measurable actions.