Insights, user experience and process improvement are three ways artificial intelligence (AI) can benefit customer service organizations.
Gartner suggests service and support leaders understand these three benefits in order to thoroughly develop and track the right metrics for evaluating their solutions’ effectiveness and prove business cases for further investment.
“Customer service and support leaders are optimistic about the value AI can provide and plan to substantially increase their adoption of AI capabilities over the next two years,” said Emily Potosky, senior research principal in the Gartner Customer Service & Support practice.
She cautioned that as service leaders explore the solutions available, they encounter conflicting messages in the marketplace about the benefits AI provides and which solutions to invest in.
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Obtaining insights – While many service leaders jump to the cost savings potential of AI, one of AI’s key benefits is its ability to obtain insights and predictions. Insight generation allows organizations to move beyond cutting costs to generating value.
Organizations can use these insights to guide agent and application decisions, ensuring customers receive the best service experience possible. Three examples of how AI is used to obtain insights in customer service are personalization, customer lifetime value and AI-based customer routing.
Ensuring optimal user experiences – Another key benefit of AI is in how it creates optimal customer and agent experiences. AI can help guide agents’ decisions while serving customers or while performing administrative tasks, making it easier for them to perform their core job duties.
Simultaneously, AI can make it easier for customers to resolve issues on their own, providing a better customer experience. Two examples of how AI is deployed to ensure optimal user experiences are chatbots, also known as conversational assistants, and language sentiment analysis.
Process improvement – A third key benefit of AI is in the automation and augmentation of physical and software business processes. While this usage is one of the most pursued AI benefits, leaders often overfocus on the automation and removal of tasks, overlooking the benefits that augmenting existing tasks can have on service operations.
Automation and augmentation can reduce costs and improve efficiency and growth potential by freeing up resources to pursue more value-added tasks. Four examples of using AI to improve customer service processes are intelligent document processing, workforce management, post-call wrap-up, and task and process workflow automation via robotic process automation and process mining.
“Customer service and support leaders seeking to use AI to improve digital and self-service customer service should ensure they have sufficient, accurate and relevant data to support customer service insights and predictions use cases,” said Bern Elliot, distinguished vice president analyst at Gartner. “Successfully deployed AI requires high-quality data.”