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Are AI Agents the next frontier of NLP Chatbots?

April 11, 2025

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In the era of Industry 4.0, automated communication technologies such as NLP chatbots and AI Agents have become an indispensable part of many industries. However, these two concepts are often confused or used interchangeably. Let’s find out with FPT.AI the difference between NLP chatbots and AI Agents, thereby helping you choose the right technology for your business.

What is NLP Chatbot?

NLP Chatbots are computer programs that integrate Natural Language Processing (NLP) technology, capable of recognizing, understanding the purpose and processing user queries based on pre-programmed scripts (list of questions and answers). They are often used in:

  • Customer support: Answering common questions (FAQs).
  • Product consulting: Introduce services or products, instructions for use, exchange/return policies
  • Content automation: Send reminders, provide quick information.
nlp chatbot
FPT Shop’s Chatbot Pika understands and gives accurate answers that match customers’ intentions

NLP chatbot helps consultants reduce manual, repetitive, time-consuming and laborious tasks to focus on consulting customers on more in-depth issues. Machine Learning technology helps NLP bots continuously update new data, to become smarter and understand users better every day.

Some businesses also integrate Dialog Management technology, use Memory cards and manage variables for chatbots to remember information about products/services/time/location, etc. Thanks to that, Dialog Management Bot can give feedback to users according to the information that the conversation context is referring to, helping users not have to repeat the issue many times while the bot can still understand their intentions correctly.

However, if businesses expect AI chatbots to be multi-functional and bring customers a seamless and automatic two-way interactive experience, NLP Chatbot or Dialog Management Bot is still not the optimal choice for businesses. These chatbots can still completely misunderstand the user’s request, giving irrelevant answers that frustrate customers because they have to rephrase the question many times?

What are AI Agents?

AI Agents are intelligent systems powered by core technologies of generative AI and large language models (LLM). AI Agents have natural language processing, and understanding of context. AI Agents not only communicate but also perform complex tasks such as:

  • Automated decision making: Based on collected data.
  • Learning and adapting: Actively learning and improving efficiency on the enterprise knowledge base over time.
  • Multi-system integration: Operating on multiple platforms.

AI Agents can perform complex tasks such as calculations, organizing routes, or predicting trends. They bridge the gap between conversation and action, making them a powerful tool for businesses looking to automate tedious, repetitive tasks or generate new creative insights based on large amounts of structured and unstructured data from various sources.

nlp chatbot
Technological differences between AI chatbots and AI Agents

Comparing NLP Chatbots and AI Agents

Criteria NLP Chatbot AI Agents
Communication Ability Basic communication based on pre-defined scripts Ability to compute, make decisions, and execute tasks from simple to complex
Context Limited to predefined response frameworks Understands context from simple to complex
Learning Capability Requires manual updates by humans Self-learning and improves over time
Integration Level Basic, simple integration High, capable of connecting with multiple systems

When to choose AI Chatbot or AI Agents?

AI Chatbots are suitable for simple tasks such as answering frequently asked questions or providing quick product advice.

AI Agents are a good choice when businesses need an advanced system that can learn and calculate automatically, accompany human resources, and help create a breakthrough in labor productivity

Will AI Agents replace NLP chatbots?

As AI technology continues to develop, AI Agents are predicted to grow rapidly and reach the 100 Billion AI Agents mark by the end of 2025. Customers will have more intuitive interactions in many different forms such as: text, voice and images. In particular, improved contextual understanding will be a key factor in helping AI Agents provide increasingly personalized information over time.

nlp bot
Comparing the Understanding and Problem Solving Capabilities of AI Agents and NLP Chatbots

While the evolution of traditional chatbots may not be as exciting as AI Agents, we will still see practical improvements in user experience through enhanced integration with other business systems and easier implementation of custom flows and responses. As we all navigate this rapidly changing AI landscape, understanding how both NLP chatbots and AI Agents will be critical to maximizing their impact – both now and in the future. Whether using AI chatbots, AI agents, or a hybrid approach, these tools are sure to play an increasingly important role in business operations, reshaping the way we interact with technology and each other.

NLP bot
TOVA – FPT.AI’s new generation Chatbot

You can experience AI Agents called OVA right on the FPT.AI website to experience the intelligence of these new generation AI Human Resources. OVA will support customers to resolve all questions, needs and provide advice on FPT.AI products and services that are most suitable for your business.

In short, in the era of rapid technological development, distinguishing and properly utilizing the features of NLP Chatbot and AI Agents is the key to helping businesses optimize business operations. NLP Chatbot is suitable for simple tasks, while AI Agents excel in their ability to self-learn and perform complex tasks. The combination of these two technologies promises to bring a more comprehensive and effective customer experience, opening up breakthrough opportunities in the future.

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