How can companies measure the success of their customer support interactions when incorporating AI and chatbot technologies alongside human agents, in order to continually improve the balance between automation and human touch?

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Companies can measure the success of their customer support interactions by tracking key performance indicators such as response time, resolution time, customer satisfaction scores, and first contact resolution rates. They can also analyze data from AI and chatbot interactions to identify patterns and trends in customer behavior and feedback. By collecting feedback from customers and agents regularly, companies can assess the effectiveness of their automation tools and make adjustments to strike the right balance between automation and human touch.