20+ AI Agents Use Cases, and How You Can Use Them in Real Life

We’ve only recently started interacting with AI agents – intelligent systems designed to perform tasks autonomously – but they are already becoming an integral part of many businesses. These agents aren’t just tools designed to perform tasks; they’re game-changing and efficient innovations for all industries. Did you know that there are already over 300 AI agents business use cases across various industries?

And the craziest part is that we’re just scratching the surface. AI agents are evolving fast, and their potential is only getting bigger. According to a 2025 McKinsey report, 90% of business leaders expect that AI agents integration will boost their revenue growth in three years. In 2023, McKinsey reported that AI adoption resulted in a 34% revenue increase thanks to AI-driven analytics and automation through AI agents.

That’s why we’ve put together a list of 20+ powerful and high-impact use cases for AI agents that you can implement in your business. So, if you plan to build your own AI agent, this is the best place to start.

20+ AI Agents Use Cases

AI agents are versatile and suit a wide range of business needs. Below, you’ll see AI agents emerging use cases 2025 categorized by their design and goals.

Utility-Based AI Agents for Efficiency Across Industries

Utility-based agents are complex tools that react to environmental stimuli, assess potential actions, and decide on the most efficient steps to achieve their goals.

Here’s what utility-based AI agents’ business use cases look like:

These agents analyze the environment, consider variables, and determine the best and most efficient route for transportation or logistics. For example:

• UPS’s ORION system plans delivery routes for its drivers and minimizes driving time and fuel consumption
• Google Maps provides real-time route recommendations based on traffic and road closures

These agents help users analyze their financial portfolios and make investment decisions aligned with their financial goals. Here’s what financial AI agents’ use cases look like:

• Betterment’s robo-advisors manage personalized investment portfolios
• Wealth Front’s investment platform helps users focus on long-term financial goals

Goal-Based AI Agents for Complex Problem-Solving

These agents consider the consequences of their actions and make appropriate decisions. Here are the use cases of AI agents for this category:

These agents analyze inventory levels, demand forecasts, and logistics constraints to identify the most efficient resource management.

• Walmart uses AI to streamline its supply chain, reduce costs, and improve their delivery efficiency
• DHL uses AI agents to optimize route planning and reduce fuel consumption

These AI agents monitor equipment performance to find and analyze temperature, vibration, and usage patterns and predict potential failures.

• General Electric uses AI agents to monitor industrial equipment and predict failures before they happen
• Siemens uses AI agents to improve the reliability of its manufacturing systems

Simple Reflex Agents for Everyday Automation

Simple reflex AI agents are the most straightforward tools. They have predefined rules and respond to immediate inputs without considering past or future actions.

AI-powered traffic lights adjust signal timings based on real-time traffic flow, and smart intersections use sensors to optimize traffic movement and reduce obstructions.

We’ve all interacted with basic chatbots. They answer questions and follow specific rules.

• FAQ chatbots on e-commerce websites like H&M and Sephora follow basic rules to answer customer questions
• Retail chatbots help users track orders and check product availability

You can turn on the lights, TV, or electric fireplace with just a few claps. But smart homes are more than seemingly magic tricks—they help us live comfortably and efficiently.

• Smart thermostats that control the temperature according to your habits and the temperature outside
• Smoke detectors that sense smoke and sound an alarm

Model-Based Reflex AI Agents for Smarter Decisions with Memory

These AI agents are upgraded versions of simple reflex agents. They incorporate a model of the world, allowing them to consider past states and make more informed decisions. These examples belong to AI agents’ emerging use cases of 2025:

These little robots help us around the house.

• Roomba uses AI to map rooms, remember layouts, and construct an efficient cleaning route
• Roborock’s vacuum cleaners detect and remember the obstacles and optimize cleaning paths

Video games have AI-powered opponents to anticipate player actions and make games even more realistic.

• Stockfish and any other chess engine use AI to analyze the game state and predict player moves
• Call of Duty has AI-controlled enemies that anticipate players’ next actions and respond accordingly

Hierarchical AI Agents for Structured Intelligence

Hierarchical agents operate in layers. Higher-level agents make strategic decisions, and lower-level agents handle specific tasks. Here are some of the best use cases for AI agents in this category:

These tools combine several agents (not just hierarchical). They use sensors, cameras, and AI algorithms to navigate roads.

• Tesla’s autopilot that navigates roads and avoids obstacles
• Waymo’s self-driving cars use AI for safety and navigation

These agents help companies manage production lines, monitor equipment, and control quality.

• Factory agents use hierarchical AI to manage production lines
• Warehouse robots coordinate picking, packing, and sorting tasks

Learning AI Agents for Continuous Improvement

These agents improve their performance over time by analyzing data, adapting to new information, and improving their performance. Explore the learning AI agents’ business use cases below:

These agents analyze customer data to create hyper-personalized campaigns and cater to the target audience.

• Netflix uses AI to recommend content based on user preferences
• Spotify uses AI to curate personalized playlists

These agents are actively used to customize learning plans for students.

• Duolingo adapts lessons based on user progress and performance
• Khan Academy has tailored exercises for individual learning needs

Multi-Agent Systems for Smarter Collaboration

These agents combine multiple AI agents to achieve a common goal.

These agents can coordinate multiple drones for surveillance, mapping, or delivery tasks.

Real-life use cases for AI agents as drone swarms:

• Military drones perform surveillance and reconnaissance missions
• Agricultural drones monitor crops and optimize irrigation

These agents balance energy supply and demand across multiple sources.

Real-life use cases for AI agents as smart grids:

• AI agents in smart grids balance energy supply and demand
• Microgrids manage local energy distribution and efficiency

Robotic AI Agents for Combining Physical and Digital Worlds

This AI agent doesn’t just exist as software but operates in the physical world. It’s used in tasks that are too dangerous for humans to perform.

These agents usually transport heavy goods and pick up and pack items.

• Amazon’s Kiva robots transport goods in warehouses
• Fetch Robotics’ robots assist with picking and packing

Healthcare or surgical robots assist doctors by performing precise and minimally invasive surgeries.

• Da Vinci surgical robots help doctors during surgeries
• Robotic exoskeletons help patients with mobility impairments regain movement

Virtual Assistant to Enhance Productivity and Customer Experience

Virtual assistants have always been popular and are currently considered in the AI agent’s emerging use cases for 2025.

These agents handle customer inquiries, resolve issues, and provide 24/7 support.

• Erica is a virtual financial assistant who helps Bank of America customers with banking tasks
• Dom is Domino’s AI-powered chatbot that allows customers to place pizza orders through messaging platforms

These agents help individual users boost their productivity.

• Apple’s Siri helps users set reminders and schedule appointments hands-free
• Microsoft’s Cortana Integrates with Outlook to manage emails, set calendar events, etc.

The best use cases for AI voice agents include Alexa, Google Assistant, Siri, etc.

These agents are transforming the healthcare industry by helping patients manage their health, schedule appointments, and access medical information.

• Babylon Health’s AI assistant does symptom-checking and health monitoring
• Ada Health helps users understand symptoms and guides them to appropriate care options

Build a Custom AI Agent in 2 Weeks for Only $2,000 (Maybe Even Less;)

Imagine cutting down hours of repetitive work, optimizing your operations, and making smarter decisions — all without hiring extra staff. With a custom AI agent, your business gets an intelligent assistant that works 24/7, adapts to your needs, and integrates seamlessly with your existing systems.

And the best part? You can have it up and running in just 2 weeks for as little as $2,000. No hassle, no long waits — just real results, fast.

If you want to build your own AI agent with the most suitable frameworks, advanced tech, and professional help from an experienced team, schedule a 30-minute free consultation with our AI experts.

AboutVolodymyr Khomichenko

Marketing Director at Glorium Technologies