The use of AI in customer service has been a breakthrough for the BPO industry and other companies with a customer service department. While the integration of artificial intelligence tools eased the pressure on the employees of the customer service department, it also helped customers acquire faster resolution to their queries. With companies switching to AI more aggressively over time, the customer service departments of companies have adopted a smarter approach to the overall business. This blog will explore some of the strategic advantages of AI in the service desk and how the use of AI customer service software like Wolken Gen AI enhances the overall customer service experience.

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The Impact of Gen AI on Customer Service Quality

The impact of Gen AI was realized when the technology was introduced into the service industry. Below are some of the major impacts of introducing Gen AI in the service desk:

• The Gen AI model helps solve complex queries in a shorter period by routing the queries to the specific solutions available in the database. 
• The AI acts as guidance to customers for any ‘Do it Yourself’ task to resolve a query, thereby saving a customer’s time in conversation with a customer service representative. 
• In addition to this, Wolken Gen AI has the capability to analyze customer data to give personalized responses with customized ideas and suggestions. This could help customers feel more connected and valued, knowing that the customer service desk understands their needs. 

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Enhancing Customer Engagement with Gen AI

Promoting new AI software, especially the Gen AI among the customers is important to prepare them mentally for a change. The awareness and rationalization of why the company integrated Gen AI into customer service should be loud and clear. This will motivate and encourage customers to explore and interact better with the AI chatbot. Additionally, the customers would begin to get real customers, and resolution to query which saves their time. This will encourage them to further add on to the experience for busy customers considering it a time-saving option for problems rather than indulging in conversations with a customer service representative. Tech lovers will especially love to use Gen AI software tools for their favorite websites to seek support most knowledgeably and uniquely possible. This also adds value to the quality of queries, leading to customer satisfaction. 

AI in the service desk is here to stay with the convenience of providing intelligent solutions to customers, reducing their need to explain problems in detail. A few words are fed into the system, and the Wolken Service Desk is smart enough to access as much information as possible to address your query with the utmost efficiency. 

Best Practices for Integrating AI into Customer Service Desks:

Companies that use Gen AI in their customer services have already started to feel that AI software works better for a company with millions of customers spread globally. In addition to reducing operational costs, the company is now able to manage customer data and queries more systematically than ever. Different companies have adopted different ways to introduce Gen AI into their service desks depending on their expertise, budget, and operational needs. Below are some of the best practices for integrating AI into customer service desks for companies of various sizes:

• Employee training and engagement: It is important for team members involved in dealing with AI software to be trained well. This is especially important to ensure that the AI software can work without technical glitches, or at least the employees should be capable of detecting any technical glitches when the AI in the service desk is operational.  
• Focusing on quality data: With the data that is being fed to AI during the implementation and experimentation phases, it is important to ensure that all the data being fed is of high quality. An audit to ensure that the AI is fed with the right information rather than any wrong data is to be done well in advance. 
• Prioritize the security of customer data: When AI in the service desk is implemented, customers should feel safe interacting with a robot. The data that they are discussing with the best Service Desk software should not be shared outside the department. There are times when a data breach could occur as the machine learning for the software occurs. However, the service desk department should have regular checks on the data being shared by the customer as well as the robot.
• Monitoring and feedback system: regular monitoring and feedback of the responses of AI in the service desk should be audited. While the responses are being considered by the AI in the service desk, it is also important to have real-time monitoring of the customers to avoid abuse from the customer’s end. 

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Future Trends in AI-Powered Customer Service Desks

The future of AI-powered service desks is leading to the next generation of AI expertise. The automation concept is also populating the service desk department. The cognitive automation of service desks with the help of AI integration into the current software will help gain independence in operations. Automation will increase the speed of query resolution, providing solutions to customers in real time. 

The importance of Customer Service Desk has widened the scope of help desk software implementation that can leverage data to capture huge data points and store them in the system. In addition to this, with the introduction of AI in the service desk, companies are switching from the traditional operational method to technology-driven operations to boost customer satisfaction. From the shift from reactive to proactive, it is possible to use AI in the future to ease the big data volume generated by customers. 

AI would reduce the operational costs for businesses as the mechanical and hardware components like phones, etc., will be removed from the workstations. As companies continue to focus on the continuous development of AI in the service desk, auditing also becomes easier, as AI can help auditors pull data that requires an extraction and retrieval process. An audit report can also be generated by AI itself, while the same is true for the service desk, making it more convenient for employees to address the issue.

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Conclusion

All the technology-driven companies are shifting the customer service experience from reactive to proactive. The AI in the service desk can enhance departmental performance and maintain large amounts of data by feeding information into it rather than traditionally storing it in databases. Therefore, AI in the service desk could give companies dual support for data management and customer service management. 

Enhancing customer experience with omnichannel support by Wolken Software could help companies in operational cost cuts and reduction in the number of platforms being used, while AI can perform most of the tasks within the same software. However, the security of AI in the service desk should be considered concerning AI safety from cyber abuse and from hackers who may gain access to the system. This is because the AI may fail to recognize a real customer from a chatbot or a personified customer. It would be important to train the AI to ensure the data being sent to the customer pertains to anything that is related to the department and customer-related queries only. The internal data should be monitored to prevent it from being publicly shared. It is also important for companies to implement an AI policy to protect employees, customers, and AI alike from any risks.

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