Insurance Containment Rate Jumps 3x With Agentic AI
See how a leading Mexican auto insurance company increased call containment rates and resolved requests faster with agentic AI.
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Agentic AI is an exciting technology with applications across a wide range of industries and business models. While it’s only been on the market for a few years, many organizations are already using agentic AI to automate time-consuming tasks and operate more efficiently.
Unlike other types of AI technology, AI agents can handle complex workflows on their own without continued human supervision. They have strong reasoning ability and can fine-tune their performance over time.
There are many innovative ways to incorporate agentic AI in business operations. Here are 10 of the most popular agentic AI use cases currently on the market.
Agentic AI is a type of AI technology that can work on its own to accomplish specific goals. Once created, the AI agent needs minimal human supervision and can actively seek out the information it needs. It may scan internal databases, search the internet, or interact with humans.
Unlike traditional AI models which can only work on one task at a time, agentic AI handles complex, multi-step workflows. AI agents have very strong reasoning and problem-solving skills, and they adapt on their own as they receive feedback.
Using AI agents strategically can help businesses save time and money while providing a more responsive customer experience. Because AI agents can handle complex workflows, they’re useful for tasks like customer service, sales outreach, and even basic IT support.
This frees up employees to focus on more complex tasks, helping your entire team work more efficiently. AI agents can also work 24/7, which is great for growing businesses with limited resources that need to scale quickly to meet customer demand.
Many industries can benefit from using agentic AI to operate more efficiently. Some of these industries include financial services, restaurants, transportation, healthcare, retail, hospitality, and insurance. AI agents are particularly helpful tools for any industry that regularly handles a large volume of either customer requests or internal communications.
Let’s explore 10 of the top examples of agentic AI in action. These agentic AI use cases show how businesses can automate key tasks to improve productivity.
This is arguably the most common agentic AI example: using AI agents to handle customer service interactions. Many contact centers now leverage agentic AI to handle incoming customer queries.
These AI agents use automated voice technology to replicate the experience of talking to a human agent. They talk with customers to understand their concerns, answer questions, and solve their problems. With smart answering, AI agents can often handle these customer queries entirely on their own.
If the customer needs support beyond the agent’s capabilities, advanced systems use human-assisted understanding, where human expertise is seamlessly integrated in real time. Human-assisted understanding is one of four key elements that help organizations avoid AI’s pilot purgatory and move from pilots to production-ready CX.
Many IT teams are juggling constant requests for password resets, device repair, and software issues, leaving little time for big-picture cybersecurity strategy. AI agents can handle standard IT tickets, giving tech experts more time to handle complex tasks.
They can answer employee questions and walk employees through processes like account setup or software installation. Employees get instant access to IT support whenever they need it, helping operations run smoothly.
With voice commerce, consumers can make purchases from the comfort of their home or vehicle just by talking to a voice assistant. In this case, the voice assistant is an AI agent who helps the customer find the exact product they’re looking for, answers questions, and sets up pickup or delivery options.
AI agents have advanced reasoning and problem-solving skills that go beyond what standard voice assistant tools offer. As a result, they can provide detailed product recommendations and have conversations about product features.
AI agents are powerful tools for both in-person and online retail stores. Brands can install AI-powered kiosks in stores or add an AI chat function to their website. The agents help customers find the products they’re looking for and complete the checkout process. They can also subtly upsell by providing recommendations for product add-ons or upgrades.
Another popular use case for AI agents is in fast-casual restaurants. AI agents can take orders and answer customer questions, freeing up staff to focus on preparing food and keeping the restaurant clean. This improves the customer experience with faster service times and more accurate orders.
There are a couple of different options for businesses. Smart ordering kiosks use AI agents to process incoming orders, customize them, and provide recommendations. Dynamic drive-thru kiosks use voice AI agents to interact with customers and take orders.
Many new vehicles feature voice assistants powered by AI agents, and AI for automotive brands can improve the driver experience and even keep roads safer.
AI agents help drivers with navigation, finding parking, and even finding fun things to do nearby. These assistants also have voice commerce capabilities, so they can help drivers place orders at nearby restaurants and stores while on the go.
AI agents can be helpful in healthcare settings, where efficiency can directly impact patient outcomes. AI agents can help patients schedule appointments, pay their bills, and refill prescriptions. They can also take the stress out of upcoming appointments by estimating likely costs and finding financial assistance opportunities.
AI agents can help banks and other financial services providers deliver memorable customer experiences. In this industry, they help customers check their balances, pay their bills, manage loans, and report lost cards. They can also answer financial questions and connect customers with human support when necessary.
In addition to assisting customers, AI agents can also help with internal employee support. For example, AI agents can support HR teams with onboarding, scheduling, and answering operational questions. Peet’s Coffee leverages SoundHound’s Employee Assist to provide employees with accurate, real-time answers to operational questions.
One of the biggest challenges for sales teams is handling a large volume of leads. AI agents can handle the initial outreach process, allowing sales teams to connect with more prospects in a short amount of time. They can also qualify both inbound and outbound leads, so sales reps can focus on the prospects most likely to convert.
SoundHound supports all of these agentic AI examples and use cases with enterprise-grade solutions. Our sophisticated voice AI agents are designed to deliver memorable customer experiences at scale, with the versatility to work across a wide range of industries. Here’s how we can help your business implement agentic AI.
Amelia is SoundHound’s industry-leading conversational AI platform. Amelia supports voice AI agents in a variety of contexts, from retail purchases to customer service to internal operations. You can even customize Amelia to match your brand voice and align with your values.
Our conversational AI agents have advanced listening and reasoning skills. They work proactively to solve problems and complete tasks, and adapt over time as they receive feedback. With these advanced abilities, AI agents replicate the experience of talking to human support staff.
We offer agentic AI solutions for a wide range of industries. Our solutions adapt to the complex needs of healthcare, financial services, tech, hospitality, and more.
Agentic AI is a flexible technology that can handle a variety of complex workflows. Since it can take on tasks that were previously only possible for human employees, implementing agentic AI can make a huge difference for scaling your business.
With our voice AI platform, you can deploy agentic AI support across your business’s operations. Talk to an expert today to explore conversational AI solutions and find the right fit for your business.
What is an example of an agentic AI use case?
An example of an agentic AI use case is a financial services provider that uses AI agents to handle customer service inquiries. AI agents can help customers activate new cards, check bank balances, manage bill payments, and more.
What is agentic AI best used for?
Agentic AI works best for automating multi-step workflows that traditional AI chatbots or generative AI can’t handle on their own. Agentic AI works particularly well for high-volume communications like customer service, IT support, and sales outreach.