by Eglė Račkauskaitė | May 8, 2026 | Contact Center AI
Agent productivity in a contact center measures how efficiently agents resolve customer issues — typically tracked through metrics like average handle time (AHT), first contact resolution (FCR) and tickets handled per hour. When you think about the foundation of your...
by Eglė Račkauskaitė | May 8, 2026 | Artificial Intelligence
Conversation intelligence software is a powerful tool for contact and call centers that records, transcribes, and analyzes customer interactions to surface sentiment and purchase patterns, flag persistent or urgent issues, and inform call center agent coaching....
by Eglė Račkauskaitė | May 8, 2026 | Artificial Intelligence
To improve customer experience in a call center, you need to focus on reducing wait times, improving first contact resolution, personalizing customer service, and offering relevant help. However, achieving this is pricey: the average cost per live conversation with a...
by Alexa Schmitt Bugler | May 8, 2026 | Contact Center AI
Types of AI in the contact center include machine learning, artificial neural networks, natural language processing, generative AI and large language models, and agentic AI. AI has many applications in contact center operations, from AI agents for self service...
by Marc Vontobel | May 8, 2026 | Artificial Intelligence
This guide will show you how to rethink enterprise knowledge management for the realities of modern organizations: fragmented tech stacks, rising support costs, and the urgent need to make AI actually work. Today, knowledge is the most important yet often least...
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