Friday, April 12, 2024
8.6 C
Friday, April 12, 2024
HomeArtificial IntelligenceArtificial Intelligence In Contact Center

Artificial Intelligence In Contact Center

Artificial Intelligence is the newest addition to customer service, and has businesses scrambling to find ways in which they can add Artificial Intelligence capabilities to their contact centre technology.

For a long time, companies used automated phone trees for contact centers, which were often confusing and difficult for customers to navigate. AI is changing all this by enabling us to train computers with information from actual calls with human agents so that they can respond similarly when customers call in again.

Due to the Covid problem, 52% of businesses have advanced their AI implementation plans. In 2021, 86% of respondents claim that AI will be a “mainstream technology” at their employer.

We’re also using AI to automatically mine your conversations with our representatives and improve the way we provide support. That’s how we know what types of responses you prefer, how to best resolve your concerns, and how to better adapt our service in response to your feedback.

All of this is managed by a set of algorithms that we can fine-tune as needed. As an end user, you may never notice AI at work in your conversations with us.

But if you’ve begun receiving fewer calls from us, it’s a good indication that we’re doing our job more efficiently and effectively by incorporating AI into our processes.

Future Of Artificial Intelligence In Contact Center


The call center is a vital link between the call center customers and the company. The customer journey begins with both the customer contacting the call center and ends with the call center agent resolving the issue.

In between, the call center agent works to build rapport with the customer, understand the issue, and resolve it. Excellent call center agents are patient, efficient, and work to create a positive experience for the customer.

72% of corporate executives are optimistic about the future contribution that AI will make. The development of artificial intelligence is still in its infancy, and it will progress when it is included into your contact centre. You can make sure that you’re utilising AI to develop a better client experience by properly planning and taking the risks into account.

Benefits Of Artificial Intelligence In Contact Center

With customer service representatives around the world handling millions of calls a year, it’s easy to see why companies are turning to AI to improve the customer experience. But this is just the beginning: in fact, AI offers many benefits across different aspects of the contact center business.

The majority of CEOs (74%) believe that AI will not only result in more effective business operations but will also aid in the development of new business models (55%) and new products and services (54%).

1. Better Customer Service And Support


AI algorithms can help your agents respond quickly and accurately to customer questions and concerns—and provide an increasingly personalized level of service based on previous interactions with customers.

And through machine learning, AI can be fine-tuned over time, which provides a path for sustainable improvements that are continually optimized for better results.

2. Better Training

The complex processes required for preparing agents for calls mean that it can be difficult to train new agents on how to effectively interact with customers. Using AI, we can automate the process, training new agents immediately based on how they’ve interacted with previous customers.

3. More Flexible Availability

Scheduling and rescheduling support calls is a significant challenge for many contact centers. Agents often have to respond to emergency requests quickly and accurately, while emphasizing the need for care and compassion in emergency situations.

AI enables more efficient rescheduling of calls, allowing customer service managers to use agents who are available for urgent calls and re-schedule other agents in a transparent and fair way.

4. More Accurate Processing Of Calls

AI (56%) and robotics and process automation (33%) are the two technologies that call centres aim to deploy most in the future.

Because AI adapts to your conversations, it can handle multiple complex questions at once. This allows the system to process information more quickly than ever before—and provide you with a faster response in urgent situations.

5. Better Tracking & Analytics

With the extensive data AI systems can collect from every conversation, you can gain an unparalleled view of your customers’ preferences and concerns, allowing you to better meet their needs and boost customer satisfaction levels.

You can also use AI’s analytics to make more informed decisions about your customer base, such as whether you should upgrade your website or service offerings, or expand an offer based on what you’ve learned.

6. Cost Savings

AI-powered systems can dramatically reduce the cost of recurring services like customer support or sales—and provide a valuable return on investment at every level of the contact center.

7. Improved Security And Compliance Monitoring

In the next two years, artificial intelligence will receive investments from 76% of contact centres. Through the application of machine learning and natural language processing (NLP), which are significant advancements in account management compliance, AI enhances data security.

8. Intelligent Automation

AI-based services can reinforce the human contact center experience by integrating into the contact center workflow, while increasing flexibility and agility in the service delivery process.

Risks Of Artificial Intelligence In Contact Center


AI and machine learning are revolutionizing the contact center industry. AI enabled system are providing contact center agent with the tools they need to provide superior customer service.

Contact center teams are using machine learning to improve customer satisfaction. Contact center leaders are turning to AI to improve efficiency and reduce costs.

1. Humans Vs. Machines

While AI systems are designed with the best of intentions, they’re only as good as the information they’re given, which can lead to incorrect conclusions. This means that even if you have the best intentions when building an AI system, it’s impossible to guarantee that it will always be safe and effective for your customers.

That’s why companies should take into consideration what happens in cases where algorithms malfunction or make bad decisions before implementing them.

2. Trust & Safety

Because of the risk of bias in AI technologies, it becomes especially important to be transparent about how and why an algorithm is being used—and to make sure that your policies on safety and privacy are followed.

3. Security Breaches

AI systems can pose a security risk if they’re not properly protected. Because of their extensive usage of data, cybersecurity is an even more important concern in today’s digital environment than it was with older models of customer service.

4. Privacy & Data Protection Complaints

Because AI relies on data to learn about customer preferences and concerns, the system could miss something important that your customers may have shared with you in the past—or even develop biases through machine learning if the data isn’t properly cleaned beforehand.

5. Hardware Upgrades

“Call centre workers fear that AI, chatbots, and virtual assistants will replace them in the workplace. Even while some businesses are currently moving toward automation, that situation is not about to occur overnight.

AI systems are in constant need of upgrades to keep up with the complexity of data and information available.

6. Lack Of Interoperability & Compatibility

One AI system may not work with another AI system, which means that there will be an ongoing cost associated with making them compatible with other contact center technologies like CRM or IVR systems.

7. Discrimination Concerns In Recruiting & Hiring Processes

As algorithms become increasingly complex, they can be taught to make biased decisions based on the information they receive—which can have a direct impact on hiring and recruitment efforts in your contact center.

8. Cost Of Implementation

Because AI technology is still in its early stages, start-up costs are high, which means that organizations need to plan carefully before making a decision. You’ll also need to invest in ongoing funding for IT and personnel.

Final Note

The advantages that AI-powered systems bring to the contact center are nearly endless: they can help your agents provide a better customer service experience, provide better training to new hires, and even improve your internal communication networks.

However, organizations need to carefully consider their decisions when implementing AI systems—especially since these systems have the power to make decisions for you about how your customers are treated.

Last Updated on October 5, 2023 by Parina Parmar


latest articles

explore more