11 Real-world AI agent examples in 2025

1. AI agents in customer support

AI-powered customer support is evolving beyond basic chatbots. Modern AI customer support agents, like those integrated with Trengo, can perform various tasks to enhance customer experience. These agents can:

• Take action on behalf of users: They can handle tasks such as updating customer information, processing refunds, or even changing passwords.
• Provide personalized product recommendations: AI agents can suggest relevant products or services by analysing customer interactions and preferences, increasing the likelihood of sales.
• Handle complex technical support issues: They can diagnose and resolve intricate technical problems, reducing the need for human intervention and improving response times.

By leveraging Trengo's AI agents, businesses can significantly streamline their support operations. For instance, companies using Trengo have seen a notable reduction in support tickets, allowing them to focus on more strategic customer engagement and satisfaction. This improves efficiency and enhances customer happiness, which is at the heart of Trengo's mission.

2. AI agents in E-commerce

E-commerce platforms are increasingly using AI agents to elevate the shopping experience. These agents can perform various tasks to make online shopping more seamless and personalized. For instance, they can:

• Automate order processing: AI agents can streamline the checkout process by automatically placing orders and managing inventory updates.
• Track and provide shipping updates: They can monitor shipments in real time, send updates to customers, and ensure transparency throughout the delivery process.
• Facilitate visual product searches: AI-powered image recognition allows customers to search for products using images, making it easier to find what they're looking for.
• Send reminders about abandoned carts: AI agents can proactively remind customers about unfinished purchases, helping to reduce cart abandonment rates.
• Offer personalized product recommendations: By analyzing customer behavior and preferences, AI agents can suggest relevant products, enhancing the overall shopping experience and increasing sales.

3. AI agents in sales and marketing

AI agents are revolutionizing sales and marketing by automating and optimizing key processes. These agents can:

• Build lead lists: They can gather and organise potential customer data efficiently, ensuring that sales teams have a steady stream of qualified leads.
• Send personalised communications: AI agents can craft and send tailored messages to leads, increasing engagement and conversion rates.
• Qualify leads: AI agents can often assess lead potential and prioritize follow-ups more effectively than humans, saving time and resources.
• Strategize and execute marketing campaigns: They can analyze market trends, customer behavior, and competitor activities to develop and implement effective marketing strategies.
• Analyze competitor activities: AI agents can monitor competitors' marketing efforts, providing valuable insights to stay ahead in the market.

For instance, platforms like Trengo can enhance lead generation by integrating AI agents that understand nuanced customer needs. By allowing users to define specific search criteria, these agents can identify and qualify leads with high accuracy, going beyond simple keyword searches to deliver targeted results. This not only streamlines the sales process but also ensures that marketing efforts are more focused and effective, leading to better customer engagement and conversion rates.

4. AI agents in healthcare

AI agents are transforming the healthcare sector by enhancing diagnosis, treatment, and patient care. In healthcare, AI agents are being utilized for:

• Diagnosing medical conditions: They can analyze symptoms and medical histories to provide accurate diagnoses, often more quickly than human doctors.
• Analysing medical images: AI agents can interpret X-rays, MRIs, and other scans to identify abnormalities, helping doctors make more informed decisions.
• Creating personalized treatment plans: By analyzing patient data and medical history, AI agents can suggest tailored treatment options that improve patient outcomes.
• Assisting in robotic surgeries: AI agents can help surgeons navigate complex procedures with precision, reducing recovery times and improving success rates.

For example, AI-powered diagnostic tools have shown remarkable accuracy in detecting diseases. Google's AI agent, for instance, achieved high sensitivity in diagnosing skin cancer, often surpassing human dermatologists. 

5. Autonomous Vehicles

Autonomous vehicles represent one of the most sophisticated applications of AI agents, integrating multiple types to ensure safe and efficient operation. These vehicles use:

• Utility-based agents for decision-making, balancing factors like safety, speed, and fuel efficiency to optimize travel.
• Goal-based agents for navigation, setting and achieving specific routes and destinations.
• Model-based reflex agents for real-time responses, using sensors to build a model of their surroundings and react to unexpected events.
• Learning agents for improving performance over time, adapting to new scenarios and enhancing overall vehicle safety and efficiency.

For instance, companies like Waymo are pioneers in this field, with self-driving cars already operational in cities such as Phoenix, San Francisco, and Los Angeles. In a similar vein, AI agents can help businesses streamline complex processes by integrating similar technologies, ensuring that operations are more efficient and customer-centric. By leveraging AI in this way, companies can focus on innovation and customer satisfaction, driving growth and success in their respective industries.

6. Dynamic Pricing Systems

Dynamic pricing systems, often used in services like ride-sharing apps, are powered by utility-based AI agents. These agents adjust prices in real-time based on factors such as demand, competition, and time of booking. For instance, your Uber ride might cost more during rush hour or in bad weather because the AI agent has analyzed these conditions and adjusted the price accordingly.

This real-time pricing strategy helps companies maximize revenue by responding to changing market conditions. By leveraging AI agents, businesses can ensure that their pricing is always competitive and aligned with customer demand, leading to more efficient operations and better customer satisfaction.

7. AI agents in hospitality

AI agents transform guest experiences in the hospitality industry by providing personalized and efficient services. These agents can:

• Streamline room service requests: They can quickly process orders and ensure timely delivery, enhancing guest satisfaction.
• Recommend nearby attractions and amenities: AI agents can suggest local experiences based on guest preferences, helping them maximise their stay.
• Upsell hotel services: By analyzing guest behavior and preferences, AI agents can offer relevant upgrades or services, increasing revenue for hotels.
• Assist staff in coordinating guest needs: They can help hotel staff manage guest requests more effectively, ensuring that every guest feels well taken care of.

These AI agents are particularly valuable because they are multilingual and available 24/7, making them ideal for global hospitality businesses catering to diverse guests worldwide. With AI agents in hospitality, hotels can provide a more personalized and seamless experience, setting them apart in a competitive market.

8. Content recommendation systems

Streaming platforms like Netflix and Spotify leverage learning agents to offer personalized content recommendations. These systems analyze users' viewing or listening histories and adapt to changing preferences over time. By continuously learning from user behavior, these AI agents can suggest movies, TV shows, or music that are more likely to interest the user, enhancing their overall entertainment experience.

For instance, Netflix's recommendation engine uses AI to analyze user interactions, such as ratings and watch history, to provide tailored suggestions. This increases user engagement and helps platforms stay competitive by offering unique and relevant content to their users. By integrating similar AI technologies, businesses can improve customer satisfaction and loyalty by providing personalized experiences that meet evolving user needs.

9. AI in manufacturing robots

In the manufacturing sector, AI-powered robotic agents are revolutionizing production processes by performing tasks such as:

• Welding: They can precision-weld parts consistently and quickly, reducing human error.
• Painting: AI agents ensure uniform paint application, maintaining high-quality finishes.
• Assembling parts: These robots can efficiently assemble complex components, optimizing production time while maintaining consistent quality standards.

By using AI in manufacturing, companies can significantly enhance productivity and reliability. For instance, AI-powered robots can work around the clock without breaks, ensuring that production lines run smoothly and meet tight deadlines. This boosts efficiency and helps maintain high-quality standards, which is crucial for customer satisfaction and brand reputation.

10. Home automation systems

Home automation systems rely on AI agents that continuously monitor and adapt to the home environment. These systems use data from various sensors to inform their decisions, ensuring that the home remains comfortable and efficient. For instance, a thermostat can detect temperature changes and adjust settings accordingly. Similarly, a lighting system might detect darkness outside—whether it's nighttime or an unexpected thunderstorm—and adjust the lighting levels inside the house.

This intelligent automation requires AI agents to both anticipate and react to environmental changes, making homes smarter and more responsive to occupants' needs. By integrating AI into home systems, homeowners can enjoy a more convenient and energy-efficient living space, with automated adjustments that enhance comfort and reduce energy waste.

11. Financial trading AI agents

Financial trading AI agents are specialized tools designed to navigate the complex and dynamic world of financial markets. Unlike general-purpose AI agents, they focus on analyzing vast amounts of financial data, including market trends, stock performance, and economic news. This is crucial because financial markets operate globally and are highly susceptible to rapid changes.

These AI agents offer improved decision-making, enhanced risk management, and the potential for higher returns compared to manual analysis. They automate complex tasks such as portfolio optimization, generating trading strategies, and detecting market anomalies. For instance, AI-powered trading platforms can analyze thousands of stocks in real time to provide users with optimized investment insights. By using AI in financial trading, investors can make more informed decisions, reduce risks, and increase their chances of achieving better returns.