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Want AI in Your Contact Center? First You Need the Cloud.

Gartner says generative artificial intelligence (AI) is one of the top three technologies that will transform customer service and support by 2028. I couldn’t agree more.


Contact center
AI enables contact centers to proactively manage agent performance, improve customer engagement, and gain deeper insights into the customer journey based on current and historical data.

After all, AI enables contact centers to proactively manage agent performance, improve customer engagement, and gain deeper insights into the customer journey based on current and historical data. With AI, for instance, you can:


• Mathematically approximate both customer and agent behavior• Intelligently predict the outcomes that most affect both consumers and sellers/service providers• Compete more effectively and strategically• Strengthen brand guardianship by enabling agents to deliver more immediate results and more seamless experiences


“As AI and automation increase, the roleof the agent will become more integrated with technology—and in many ways more demanding and valuable.”—Tom Davis


Indeed according to our State of the Contact Center 2023 report, over 2/3 of contact center managers believe AI’s greatest promise is making agents’ jobs easier and more productive. That’s why so many Calabrio customers have already embraced AI to optimize their business processes (e.g., scheduling, quality management, etc.), modernize their contact center analytics, and drive even greater operational efficiencies.


“We’re not [using AI] to replace work. It’s about what else we can do now that we have this additional tool to empower our people.”—Matt Agone


If your contact center isn’t one of those taking advantage yet, there’s something really important you need to know:


AI IS NEARLY IMPOSSIBLE WITHOUT THE CLOUD.


Said another way—if you haven’t already moved your contact center to the cloud, you’ll have to do that first. Then and only then can you start building out your AI-powered customer service operations. Here’s why:


REASON #1—More computing power.As you can imagine, AI requires a LOT of compute resources—most companies with on-prem deployments can’t afford AI’s hardware requirements.

REASON #2—Continuous, automatic updates.Your team members will want the latest, greatest AI-powered capabilities at their fingertips as soon as they become available—on-prem solutions only offer sometimes expensive and always time-consuming upgrades every 3-5 years at best.

REASON #3—Unlimited agility and scalability.Once you dip your toe into AI, the ways in which you want to use it will quickly grow and expand—on-prem solutions can’t easily, infinitely scale to support use cases like the cloud can.

REASON #4—Perpetual innovation.AI capabilities grow and evolve every day—on-prem solutions can’t keep up with AI’s speed of innovation like the cloud can.


Put simply, running AI in the cloud is faster, easier, and more cost-effective than trying to do it on prem.

It simply makes (business) sense.


Source: Calabrio

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