University of Kwazulu-Natal

11 Real World Ai Agent Examples In 2026 Trengo Com

Bonisiwe Shabane
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11 real world ai agent examples in 2026 trengo com

AI agents can autonomously execute intricate tasks, make informed decisions, and adapt seamlessly to real-time changes. As AI evolves, businesses are discovering innovative applications across diverse industries. At Trengo, we're committed to empowering businesses with cutting-edge solutions. For 2026, we're focusing on integrating AI agents that enhance customer interactions and streamline operations. Here, we'll examine 11 AI agent examples and explore how they're transforming various sectors, highlighting their potential to drive growth and efficiency. An AI agent is a sophisticated software program that can interact with its environment, collect data, and make decisions to achieve specific objectives.

Unlike traditional software, AI agents operate autonomously, learning from experiences and adapting their behavior over time. This autonomy allows them to improve their performance and efficiency continuously. AI agents integrate various components to function effectively. They use sensors or interfaces to gather data, advanced processors to analyze this information, and actuators or interfaces to interact with their environment. For instance, a chatbot uses customer queries as input, analyzes them, and responds accordingly, while a self-driving car relies on sensors to navigate through traffic. As we explore examples of AI agents, it becomes clear that their impact is transformative.

Industry leaders like Satya Nadella and Jeff Bezos have highlighted the potential of AI agents to revolutionize how we interact with technology, making it more intuitive and efficient. These agents are poised to streamline tasks, enhance productivity, and transform industries such as customer service, healthcare, and finance. With their ability to adapt and learn, AI agents are set to play a pivotal role in shaping the future of technology and business. With rapid improvements in AI, things are quickly moving away from AI chatbots to action-driven AI agents. AI agents are ready to change our everyday lives and how we interact with services. They don’t just generate text or images, but make decisions and act on them.

So, to demonstrate agentic applications, we have compiled powerful real-world examples of AI agents in 2025. From computer-using AI agents to autonomous vehicles, we have mentioned all of them here. The first real-world example of AI agents that we have on the consumer side is Computer-Using AI agents. Leading AI companies are developing Computer-Using AI agents to automate and achieve tasks on the web and local computers. OpenAI’s Operator AI agent is the most noteworthy one as it can autonomously perform tasks on behalf of the user on the web. OpenAI’s Operator AI agent can navigate websites, click buttons, fill out forms, type text, and scroll pages to complete any task you throw at it.

It basically analyzes the active screen and decides where to click next or perform a suitable action. You can use it to book flights, hotels, order groceries, fill out forms, and more. That said, for sensitive tasks like making payments or entering CAPTCHAs, you still need manual intervention. It’s available to ChatGPT Pro users, which costs $200 per month. Other than that, Anthropic has developed the Computer Use AI agent, which uses Claude to perform local operations on your computer. It can also browse the web and perform tasks, just like OpenAI’s Operator.

The AI agent is currently in preview and requires Anthropic’s API access. From cybersecurity to supply chain management, agentic AI can help businesses automate complex, multistep tasks in real time. The term agentic AI, or AI agents, refers to AI systems capable of independent decision-making and autonomous behavior. These systems can reason, plan and perform actions, adapting in real time to achieve specific goals. Unlike traditional automation tools that follow predetermined pathways, agentic AI doesn't rely on a fixed set of instructions. Instead, it uses learned patterns and relationships to determine the best approach to achieving an objective.

To do this, agentic AI breaks down a larger main objective into smaller subtasks, said Thadeous Goodwyn, director of generative AI at Booz Allen Hamilton. These subtasks are then delegated to more specialized AI models, often using more traditional, narrow AI models for specific actions. The decisions and actions of these component AI systems ultimately enable the AI agent to achieve its primary objective. And this capability is quickly maturing, according to Goodwyn. AI agents are like the backstage crew at the concerts we attend: Operating independently on the backend to deliver a smooth experience on the user end. They power many of the tech we use – and have for a while – but haven’t gotten that visibility until recently.

In this article, we’ll break down real-world examples of how AI agents are used across industries. Every time you sift through recommendations on your Netflix, you’re seeing AI agents at work. AI agents take action without constant human intervention by recognizing patterns and predicting behavior. When Netflix is recommending you shows to watch, that rec list has been compiled by an AI agent tasked with analyzing your watch history and ratings for trends and genre preferences. AI agents are like the backstage crew at the concerts we attend: Operating independently on the backend to deliver a smooth experience on the user end. They power many of the tech we use – and have for a while – but haven’t gotten that visibility until recently.

In this article, we’ll break down real-world examples of how AI agents are used across industries. Every time you sift through recommendations on your Netflix, you’re seeing AI agents at work. AI agents take action without constant human intervention by recognizing patterns and predicting behavior. When Netflix is recommending you shows to watch, that rec list has been compiled by an AI agent tasked with analyzing your watch history and ratings for trends and genre preferences. AI agents are transforming industries. Examples: basic thermostat (simple reflex), self-driving car (model-based), fitness app (goal-based), energy system (utility-based), spam filter (learning).

Also in: e-commerce, marketing, Chatbase, hospitality, pricing, Netflix, Waymo, manufacturing, JP Morgan, Google's health AI. 11 Real-World AI Agent Examples in 2025Artificial intelligence (AI) agents are disrupting how businesses operate and interact with customers. These powerful tools can autonomously perform complex tasks, make decisions, and adapt to real-time changes. AI agents are becoming increasingly clever, and businesses are finding use cases and solutions across all types of industries. At Chatbase, we're the leading AI chatbot platform and helped 1000s of businesses like yours in 2024. However, for 2025 we are helping our customers implement fully-featured AI agents with AI actions and more.

Start by creating an AI agent for your business for free today. AI agents are like the backstage crew at the concerts we attend: Operating independently on the backend to deliver a smooth experience on the user end. They power many of the tech we use – and have for a while – but haven’t gotten that visibility until recently. In this article, we’ll break down real-world examples of how AI agents are used across industries. Every time you sift through recommendations on your Netflix, you’re seeing AI agents at work. AI agents take action without constant human intervention by recognizing patterns and predicting behavior.

When Netflix is recommending you shows to watch, that rec list has been compiled by an AI agent tasked with analyzing your watch history and ratings for trends and genre preferences.

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