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Home | Contact Center Technology | How to Improve, Train, and Transform AI for Contact Center?
Home | Contact Center Technology | How to Improve, Train, and Transform AI for Contact Center?

How to Improve, Train, and Transform AI for Contact Center?

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How to Improve, Train, and Transform AI for Contact Center?

Nowadays, AI is in everything and everywhere, and call centers are not an exception. Every business tries to bring innovation to their contact centers to enhance their customer experience. The integration of AI and call centers has reshaped the customer service paradigm. All thanks to these technologies like machine learning, natural language processing, and predictive analysis. Using these technologies, contact center operations are becoming streamlined, automated, fast, and more personalized.

Call Center Studio’s cloud call center software does the same job for you. With its comprehensive tools and technologies, you can easily manage customer interactions. Also, you can streamline workflows, boost efficiency, and track key performance indicators. Let’s know more about how you can implement AI and prepare call centers for an AI-based future.

How has AI Transformed Contact Centers?

AI has already revolutionized the way call centers work. However, there are many more improvements that you can bring to AI-implemented contact centers. Here are the basic ways in which it has transformed call centers.

Manual call routing to automated call routing:

AI ensures no more waiting time for customers. The AI-powered systems automatically transfer calls to the most suitable agent for customer queries. It ensures that your customers instantly get their queries resolved through the best agents.

No human interventions; virtual agents are on duty:

Leveraging machine learning and NLP technologies, virtual agents respond to customers in real-time. These chatbots provide answers to customer queries instantly without letting them wait for a long time.

Instead of manual QA, use AI-supported reviews and speech analytics:

Gone are the days when QA scoring was done after listening to previous call recordings. Now, AI-based speech analytics can speed up the process by analyzing call recordings and transcripts.

Best Practices to Implement AI in Contact Centers

Define clear goals:

Firstly, identify what you want to achieve with AI in contact centers. AI tools can do many tasks, like improving customer satisfaction, improving call resolution, reducing call volumes, etc. If you have a clear objective, you can better implement these tools in your call center.

Proper training and support for call center agents:

Comprehensive training for your call center agents is essential to properly leveraging AI tools. They will be done using them every day. Training them with new tools and software will make the process easy and frictionless.

Integrate AI tools with other tools:

Your AI system must integrate seamlessly with your contact center software and infrastructure. Integration with native tools ensures automatic data sharing. Also, your call center agents can get customer insights through a centralized app. Our cloud-call-based software can integrate with any customer interaction platform to assist you in customer service.

Always monitor the progress of AI tools and optimize whenever needed:

To be able to fully leverage AI tool efficiency, you have to measure metrics based on agent efficiency, overall productivity, and customer feedback. Based on the metrics, you must identify areas and refine your strategy.

How Can AI Be Used in Call Centers


How Can AI Be Used in Call Centers?

You can implement AI strategies in various ways to improve customer service and enhance overall efficiency. Here we explain, “How is AI being used in customer service?”

Predictive call routing:

AI software solutions come with predictive call routing features. With this feature, they route a customer’s call to the best representative. Such a suitable representative can handle the customer in the best manner. The technology is based on understanding the customer’s behavior, his persona, and his past experiences.

Based on agents’ metrics, AI technology determines average ticket time, personality characteristics, and agents’ expertise on particular matters.

Interactive voice response:

If your call center faces a lot of calls, interactive voice response can be a game changer for them. Companies receiving queries related to bank statements, eligibility, copay, working hours, etc. can use AI-enabled systems. These systems not only reduce the need for human representatives but also reduce the cost and time for answering such queries.

Conversational AI:

Commonly known as chatbots, you can implement this technology for answering customers via online chats. This has become one of the most popular customer service inquiry channels. The chatbots provide self-service options for customers while they deal with website content.

Further, when customers get their queries resolved via chatbots, you will receive fewer calls for repetitive questions. This will help your human agents focus on more complex issues.

Conversational AI is a bit more complex than chatbots, as it can capture voice data and give deeper insights into your calls.

Emotional intelligence AI:

Identifying customers’ sentiments is another important feature of AI software solutions. Such AI is trained for various languages and cultural contexts and identifies the tone and cadence of the customer’s language to identify his mood.

The AI gives feedback to the agents based on the customer’s good or bad mood. The agents can then handle the customer in a much better way, enhancing his overall experience.

AI-powered recommendations:

This technology works similarly to the AI emotional intelligence feature. It identifies the customer requirements and recommends the best solutions to the supporting team. This quick support helps human agents save time and offer a personalized customer experience.

Call analytics:

With AI, you can get in-depth analysis of calls, resolutions, and many more related things. With this technology, you can access customers’ data to get deeper insights while resolving their queries.


What Is the Future of AI in Call Centers


What Is the Future of AI in Call Centers?

The future of artificial intelligence in contact centers is quite promising. The implementation of artificial intelligence in these industries will reshape it and bring innumerable benefits. As there is a growing shortage of efficient and experienced staff, AI adoption will gain pace. Also, industries will switch to conversational AI agents to curb their labor expenses.

Over time, the AI in call centers will develop more advanced chatbots. These chatbots will work like humans in handling complex interactions and sentiment analysis.

However, with the advancement of it in call centers, ethical considerations will become equally important. Organizations need to take care that they use AI tools responsibly and do not compromise customer service quality.

Despite so much integration of AI in call centers, the question “Will call centers be replaced by AI?” remains unanswered. Maybe one day in the future, this statement will hold. However, today, AI is used as a supplementary tool to make customer service smoother, quicker, and more efficient.



This is a fast-paced world, and you need AI technology to stay ahead of your competitors. With Call Center Studio’s cloud call center software solutions, you can automate your work and guide agents to deliver the best customer service.

Our software solutions allow you to provide in-depth analysis of a customer’s history, perform simple tasks, and support agents in resolving customer queries in no time.

Implement AI in contact centers and see the difference it brings to your CX.