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IVR frees up time for agents by handling common queries, announcing updates, routing callers to the right agents, and offering basic support. Intelligent VirtualAgents (IVA) are AI-powered chat assistants that can have context-aware conversations with customers.
But there are dozens of other processes in which agents collect information from a customer over the phone, and these calls aren’t just long, they’re expensive. Many companies have been able to significantly reduce live agent minutes and the averagehandletime for calls by using virtualagents to take over the drudgery of data gathering.
The healthcare sector, government sector and e-commerce business owners are seeing a spike in their inbound calls, but contact centers are traditionally staffed with dozens to thousands of agents working in the office. Oftentimes in 24-hour contact centers, agents share desks and equipment – including headsets.
These systems are relevant for many verticals including healthcare, finance, weather prediction, call and chat centers, desktop apps, info kiosks and more. . It also improves their ability to bring customer issues to successful resolution, enhancing both customer satisfaction and inline agent satisfaction.
If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.
Some of the most common uses of AI have been game changers: Virtual assistants like Siri guiding us on our way and finding information in an instant Fraud detection from our financial institutions Medical diagnoses and healthcare Contact centers are no exception and stand to gain significant business and operational benefits from AI.
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