People are required to get insurance for their houses, cars, health, and other valuables. There are many insurance companies offering coverage, so people take their time to evaluate their options before picking the right company. The insurance industry is competitive because many companies are trying to present themselves as the most appealing option for consumers and gain an edge over their competitors.
For an insurance company to grow, they need to constantly gain new customers. However, this can be challenging because they need support staff to be available around the clock to answer potential customer inquiries.
If an insurance company does not have sufficient customer support staff to receive calls, they may lose their leads to competitors. Fortunately, artificial intelligence can solve that problem. Artificial intelligence tools like chatbots and conversational AI can reduce the burden on customer support staff and salespeople and provide fast and accurate answers to potential customers’ inquiries.
Conversational AI in Insurance Customer Service
Conversational AI in insurance customer service is revolutionary and can increase lead conversion because it is always available to answer customer inquiries and never gets tired.
Insurance companies can train conversational AI tools to understand how their business operates and the plans they offer customers. When leads visit their website, they can speak with the conversational AI tool and get answers to their questions in real time.
Benefits of Conversational AI
Conversational AI has numerous benefits, including time and cost savings. People who speak to the conversational AI tool will spend little to no time waiting for the answers they seek. This makes them more likely to get insurance from a company that uses the tool. On the other hand, said insurance companies will spend less money hiring salespeople and nurturing leads. Some of the benefits of using conversational AI include:
Consistent Customer Service
Consumers prefer to have the same level of customer service whenever they interact with an insurance company. This is almost impossible to achieve with human customer support staff because different factors can influence their demeanor and the quality of answers they provide. Meanwhile, conversational AI tools can manage this more easily because they treat every caller the same way and can answer all the questions they were trained on.
This does not eliminate the need for human customer service. However, conversational AI can handle repetitive, routine questions, freeing humans to respond to more specific requests.
Efficient Data Collection
Besides salesperson and customer interactions, conversational AI tools are also adept at collecting and storing data. This data can train the AI to learn what consumers want, so it can respond better to customer interactions. This continuous process exponentially improves the AI tool. The tool also collects consumers’ personal information, which insurance companies can use for their ad campaigns.
Greater Customer Service Access
Some people are not comfortable talking to salespeople over the phone, and this can create a barrier between them and insurance companies. Conversational AI tools can break that barrier because people can ask questions without contacting another human.
Higher Customer Satisfaction
Customer satisfaction is essential to an insurance company’s success. If people are not satisfied with their services and customer support, they will move to their competitors. Insurance companies can use conversational AI tools to improve customer service so people can get answers quickly and seamlessly.
Enhances Scalability
If an insurance company wants to scale its operations, it will need new salespeople, which will cost a significant amount of money. They will also need to train these new salespeople to effectively handle customer inquiries and persuade them to opt into an insurance plan. This can be time-consuming and resource-intensive. However, conversational AI can help insurance companies grow without a drastic increase in personnel.
Round-the-clock Availability
Unlike human customer support agents, conversational AI does not need to sleep or take breaks; therefore, it can serve an unlimited number of people at any time of day. They can speak to every customer at length without getting weary, cranky, or sounding irritated. This improves the customer experience because callers feel at ease expressing concerns or asking questions without feeling rushed off the phone.
Constant Improvement
The machine learning capabilities of conversational AI tools make them improve with every customer interaction. This means they deliver better customer service without needing manual training like humans.
Multi-platform Integration
Insurance companies can integrate their conversational AI on all the platforms they use. In addition to placing it on their website, they can integrate it into their mobile applications, social media, and instant messaging apps. This will help them reach as many customers as possible without hiring more human customer support staff. It will also ensure everyone receives the same quality of support, regardless of the platform they use to communicate with the company.
Challenges to the Implementation of Conversational AI
There are numerous benefits to using conversational AI, as outlined above, but it comes with the challenges listed below:
Difficulty Understanding Human Language
Human language is too complex for artificial intelligence tools to fully understand. People use many figures of speech when speaking to other humans, but they may struggle to do the same with a bot. Depending on the conversational AI tool an insurance company uses, potential customers may have to speak as simply as possible for it to understand them.
Technical Limitations
AI tools don’t have the same response time as a natural human-to-human conversation. This can make customer service calls last longer than they normally should. Sometimes, the AI tool may have trouble understanding certain accents, making the caller clarify their sentences and repeat themselves.
Continuous Training
Conversational AI tools need constant training because it is almost impossible for them to have answers to every question a potential customer might ask. Sometimes the AI will produce incorrect answers, depending on the context of the conversation with a customer. Those answers must be reviewed and corrected so mistakes don’t recur.
Data Security Concerns
In a world where people understand how valuable their data is, a lot of people may be skeptical about providing their personal information to artificial intelligence tools because they do not know how it will be handled. Therefore, insurance companies have to go to great lengths to assure customers that their data will be handled safely and securely.
Integration With Other Systems
Not every conversational AI tool is compatible with every website and mobile application. Insurance companies must find a reliable option that fits their existing IT infrastructure. In some cases, they may need to change their codebase to support the AI.
Development Cost
Some insurance companies prefer to develop and maintain their conversational AI tools in-house, but this can be expensive. Most of them prefer to work with third-party SaaS companies to get conversational AI services at an affordable price.
Conversational AI vs Chatbots
Many people mistakenly use conversational AI and chatbots interchangeably. However, they differ in key ways. Understanding these differences is crucial to how insurance companies implement them and improve the customer experience.
Chatbots are systems designed with specific rules, scripts, and instructions. They are programmed to provide predefined responses to user inputs, usually for frequently asked questions and routine inquiries. They handle repetitive conversations, provide basic customer service, book appointments, respond to inquiries, and manage small tasks.
The design of chatbots allows them to operate in a limited scope, where they depend on keyword recognition to deliver responses. As a result, they cannot understand complex statements. Many insurance companies have already integrated chatbots into their websites, but conversational AI is far less adopted.
Conversational AI is a more complex technology than chatbots. It is an artificial intelligence tool with natural language processing and machine learning capabilities, allowing it to understand user input and produce human-like responses that closely mimic human-to-human conversations. Depending on the format an insurance company chooses, its conversational AI tool can communicate with customers via text or voice call.
The major difference between a conversational AI tool and a chatbot is the tool’s ability to understand context, ambiguity, and tonality in speech. It also improves its communication based on previous interactions, helping it better understand user intent. Insurance companies can use it to handle complex customer support interactions.
Conclusion
Conversational AI has improved how insurance companies deliver customer service. People no longer have to wait minutes to reach an agent or salesperson for answers. Now, an AI tool that sounds human can pick up their call in seconds and provide detailed answers. This will increase lead conversion rates and help insurance companies retain their customers.
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