What is Agentic AI and How Does It Work?

Answer 1

For businesses looking to identify practical opportunities, an Agentic AI Use Case Library can provide a useful starting point for exploring potential workflows. Solutions such as AI LifeBot can further demonstrate how conversational AI and intelligent automation can work together to create more capable digital experiences.

What Is Agentic AI?

Agentic AI refers to AI systems that can independently work toward a defined objective by reasoning through tasks, selecting appropriate actions, using available tools, and adapting based on results.

Unlike a traditional chatbot that primarily follows a question-and-answer pattern, an AI agent can handle a sequence of tasks.

Traditional AI vs. Agentic AI

Traditional AI

• Responds primarily to a specific prompt.
• Usually performs a predefined task.
• May require human input at every stage.
• Has limited ability to plan multi-step workflows.

Agentic AI

• Understand a broader goal.
• Breaks complex objectives into smaller tasks.
• Chooses actions based on context.
• Can interact with external tools and systems.
• Evaluates results and adjusts its approach.

Example: A customer asks, “Can you help me reschedule my appointment?”

A conventional chatbot may provide instructions for rescheduling. An Agentic AI system could understand the request, check available appointments, identify suitable alternatives, update the booking system, and confirm the new appointment.

How Does Agentic AI Work?

Agentic AI typically operates through several interconnected stages.

Step 1: Understand the Goal

• The process starts when a user provides an instruction or objective.
• For example:
• “Find a suitable appointment next week and schedule it for me.”
• The AI interprets the intent, identifies important details, and determines what needs to be accomplished.

Step 2: Analyze the Context

The agent gathers relevant information before taking action.

This may include:

• Previous conversations
• User preferences
• Business rules
• Available data
• Information from connected applications
• Current system status

Step 3: Create a Plan

Instead of immediately producing an answer, an Agentic AI system can divide the objective into multiple steps.

For example:

• Identify the requested service.
• Check availability.
• Compare suitable time slots.
• Select an option based on the user's requirements.
• Complete the booking.
• Send confirmation.

Step 4: Select and Use Tools

Agentic AI can connect with tools, databases, APIs, enterprise software, search systems, and other applications.

Depending on the task, an agent might:

• Retrieve information from a database.
• Search for a knowledge base.
• Send an email.
• Update a CRM.
• Create a support ticket.
• Process a transaction.
• Retrieve customer information.
• Trigger an automated workflow.

Benefits of Agentic AI

Organizations exploring Agentic AI may benefit from:

• Greater automation: Multi-step processes can be handled with less manual intervention.
• Faster responses: AI agents can operate continuously and respond quickly.
• Improved scalability: Automated agents can support large volumes of interactions.
• Personalized experiences: Context can be used to tailor conversations.
• Operational efficiency: Employees can spend more time on complex tasks.
• Consistent processes: Agents can follow defined policies and workflows.