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AI Agents are AI-powered entities designed to autonomously perform one or multiple specific tasks without requiring constant human intervention. They are revolutionizing the way we work and live by automating processes, boosting productivity, and enhancing the quality of life.
Here are the top 10 most popular applications of AI Agents being implemented by major global enterprises:
- Customer Service
According to Tidio, 54% of companies leverage AI Agents for customer service in the form of conversational AI (e.g., chatbots, virtual assistants). AI Agents instantly respond to customer inquiries, provide information, and resolve issues 24/7 without human intervention. They handle large volumes of requests simultaneously, significantly reducing wait times and improving customer satisfaction. Additionally, they cut customer service costs by up to 30% and adapt through individual interactions to better understand customer needs, enabling more effective communication and problem-solving over time.
- Healthcare
AI Agents analyze symptoms, provide preliminary diagnoses, offer advice, and monitor health remotely. Some AI systems also support reading and analyzing medical images, such as X-rays or MRIs, to detect diseases early.
AI agents in healthcare are revolutionizing the diagnostic process by significantly improving the accuracy of medical procedures, such as CT image analysis to detect plaque with up to 97% accuracy. They are also used to suggest treatment plans, manage patient data, and contribute to more informed healthcare decisions. AI agents can process and analyze vast amounts of medical data much faster than humans. This is why they can automate over 80% of clinical documentation tasks, thereby improving the overall efficiency of healthcare providers worldwide. Additionally, AI agents support continuous monitoring and care management, enhancing the delivery of personalized care.
Companies are utilizing AI agents to create individualized treatment plans and control robotic surgical systems, resulting in more precise and time-efficient procedures. In 2023, AI giant Google demonstrated the power of this technology by diagnosing skin cancer with greater accuracy than dermatologists.
- Finance and Banking
AI agents analyze financial transactions and alert users to any anomalies, aiding in fraud detection. Notably, AI agents can provide recommendations based on market data analysis, helping clients make accurate and timely decisions.
Statistics reveal that 43% of finance professionals reported significantly improved operational efficiency after integrating AI agents into their business systems. This is hardly surprising, as AI agents can automate high-volume trading, manage investment portfolios, detect fraud, and deliver personalized financial advice. Their ability to analyze market conditions and execute trades at speeds and volumes that human traders cannot match enhances overall market efficiency.
AI agents combat fraud by optimizing portfolios, assessing lender creditworthiness, and helping individuals manage their finances. A prominent example in the financial sector is JP Morgan, which has implemented this technology and achieved a 70% reduction in fraud, saving the company $200 million.
- Retail and E-commerce
AI agents are used to personalize the shopping experience, providing tailored product recommendations based on preferences and behavior.
AI agents in retail can personalize the shopping experience, manage inventory, and optimize logistics. They use consumer data to tailor product recommendations and promotions, leading to increased customer engagement and sales. Nearly 72% of retailers report that using AI agents can lead to overall reductions in operating costs due to improved efficiency in delivering personalized customer experiences. AI agents also streamline supply chain management by forecasting demand trends, helping retailers manage inventory levels more effectively.
Companies are developing AI chatbots to provide 24/7 customer support. Inventory management systems use AI agents to forecast demand and optimize storage, reducing costs and preventing stockouts. AI agents can also analyze customer data to assess user search history and behavior, ultimately providing customers with personalized recommendations, increasing their loyalty, and resolving issues promptly. For example, Amazon’s AI agent – one of the first companies to shift to developing LLMs and building a recommendation system that generates 35% of its revenue.
- Education and Training
AI Agents create personalized learning paths, monitor progress, and adapt content to suit individual abilities. They generate exercises, provide instant feedback, and improve learning outcomes.
- Manufacturing and Industry
AI agents have the ability to schedule production, predict maintenance, and control quality processes, boosting efficiency in manufacturing lines. By predicting when machinery requires maintenance with a 90% accuracy rate, AI agents help manufacturing businesses avoid unexpected breakdowns and extend equipment lifespan. They also optimize production schedules based on various factors, such as demand forecasts and resource availability, ensuring maximum operational efficiency.
Manufacturing companies use AI agents to predict equipment failures, optimize production processes, control robots, and maintain high product quality. One notable use case of AI agents in predictive maintenance is Siemens, which reduced downtime by 40% and increased productivity by 10%.
- Office Management and Collaboration
AI Agents automate tasks like scheduling meetings, organizing documents, sending notifications, and managing emails. They support project management by analyzing progress, identifying risks, and suggesting optimal solutions.
- Marketing and Advertising
AI agents support marketing strategies through data-driven insights and automation. They analyze consumer behavior, segment audiences, and personalize marketing campaigns to target specific customer segments more effectively. Notably, AI agents help optimize ad placement and budgeting by predicting the performance of various marketing channels, allowing for more efficient use of resources. Additionally, they assist in managing and automating AI content generation, A/B testing, and customer interactions, ultimately driving higher conversion rates and improving overall marketing ROI.
- Logistics and Supply Chain Management
AI Agents streamline delivery routes, allocate resources, and predict demand, reducing transportation costs and improving supply chain efficiency.
- Security and Crime Prevention
AI Agents analyze data from cameras and sensors to detect suspicious behavior. In cybersecurity, they identify and neutralize threats by spotting abnormal data patterns in real time.
In Vietnam, FPT has developed the FPT AI Agents platform, enabling businesses to build extensive AI workforces powered by generative AI and large language models (LLMs). These agents automate tasks such as customer service, data analysis, and real-time reporting, driving productivity and customer satisfaction. Currently, FPT AI Agents have been deployed for many businesses, aiming to solve practical problems such as customer service (resolving questions, supporting customer requests); performing office tasks (automating employee operations); sales (approaching, consulting and performing effective sales based on personalization).
In the near future, FPT AI Agents will continue to be developed to become more proficient in solving complex tasks, meeting diverse needs of businesses, from optimizing supply chains, reducing waste in production to providing great personalized experiences in the retail industry… Applying FPT AI Agents to business strategies will promote businesses to create innovation, efficiency and sustainable growth for many businesses.