What is an AI Contact Center?

In contact centers, where customer satisfaction and efficiency are vital to your long-term success, AI offers the potential to solve many of your most frustrating problems. Long call times, angry customers, and inefficient agents are all issues AI can help deal with.

In the US alone, an estimated $1.6 trillion is lost every year due to customers switching loyalties because of poor customer service. Where every second wasted and every customer left dissatisfied is money down the drain, AI helps you save significant amounts of time and drive positive customer experiences.

Forget about waiting for AI to evolve any further, it’s already capable of tackling your problems right now. Contact center owners can already utilize AI Agents to alleviate many of the time-consuming processes that frustrate customers, demoralize agents, and hamper growth.

Got doubts? It’s no surprise – the discussion around AI is littered with misunderstandings and misinformation. Forget about feeding prompts to ChatGPT or creating images via tools like Midjourney – the true value of AI comes from more focused applications designed to assist you in doing what you already do in a more efficient way.

In this guide, we’ll show you how AI-powered contact centers work and what benefits they bring to your customers, business, agents, and future performance.

What is an AI contact center?

An AI contact center is a facility that has integrated AI technology into its systems and workflows. How the technology is integrated differs from business to business, but the overall concept is that AI enables large-scale automation to cut down on labor-intensive manual processes and improve favorable outcomes.

The core functions of an AI in a contact center environment are:

• Communicating with customers: AI Agents can chat with customers using natural language and will understand context, generate relevant responses, and take action where required.
• Assisting agents: AI can also assist agents by providing real-time assistance during calls, speeding up resolutions, or directing them to appropriate resources.
• Anticipating and directing: In contact centers, AI is capable of taking a customer's need or request and either intelligently routing it to the right agent or team OR automatically resolving it.
• Gathering insight: AI can analyze customer call data at scale and produce valuable insights into common customer queries or language patterns, as well as data around important predictive metrics such as CSAT scores.

The exact ways AI can be used depend on which technology you choose and your business’s needs – so no two integrations are the same. However, one thing must be made clear for anyone new to the idea – AI contact centers are not fully automated. Despite the robotic connotations of the term ‘AI contact center’, the truth is that human agents are an irreplaceable part of the customer experience journey.

Contact center AI exists to assist humans, not replace them. Effective AI implementation within a contact center helps improve customer experience, boost agent satisfaction, and drive overall efficiency gains throughout your entire business.

How Does Contact Center AI Work?

In its most basic sense, contact center AI works by interpreting user intent and then taking the appropriate action – whether that is to facilitate an immediate resolution if the AI can accomplish the task on its own, or to elevate more complex cases to a human agent.

In order to understand how AI achieves this, we need to discuss the relationship between Conversational AI and Generative AI.

What is Conversational AI?

Conversational AI is an AI capable of genuine conversations with customers. It uses natural language processing to understand the context of a user’s query and create a relevant response.

Conversational AI in a contact center is integrated into backend systems, meaning it can interact with crucial systems such as your CRM or billing platform. This allows it to action user requests and either resolve them where possible or pass them to an agent.

What is Generative AI?

Where Conversational AI serves as the front-end experience that customers interact with, Generative AI forms the background layer that generates responses and solutions based on real-world data from Language Learning Models (LLM) or a contact center’s own user data.

Generative AI excels in its ability to create unique, context-driven content in response to user requirements, which improves experiences for both customers and agents.

Joining AI Technologies Together

AI Agents combine Generative AI and Cognitive AI to give customers seamless experiences that are indistinguishable from human interactions. Not only can AI Agents hold conversations and understand context, they can also automatically resolve mundane processes such as ID&V.

Most contact centers exist to resolve customer queries as efficiently as possible. To do that, agents will need to access several different software ecosystems during a call, such as a CRM system and billing platform. These systems exist in isolation and must be accessed individually, which eats into a human agent’s time and hampers their productivity.

Contact center AI helps directly solve this issue by modeling your existing processes and systems, then implementing AI as a structured meta-layer that sits above them but can access and interact with each system required during calls.

Conversational AI gives customers and agents access to a rapid and responsive source of direct support, whereas Generative AI provides relevant solutions via need-driven content. Together, these two AI technologies have many different applications throughout a contact center, including:

• Call qualification: Contact center AI can qualify calls and take customers through the initial verification process without requiring human intervention. This helps cut down on a labor-intensive process that agents resent.
• Improve self-service: AI can help improve the self-service process by channeling users towards their actions and assisting them where necessary to avoid the need for further escalation.
• AI voice chat: The power of Conversational AI allows AI Agents to talk directly to customers in hundreds of different languages.
• Real-time translation: Some AI contact centers can provide translation that allows you to field calls in any language.
• Call insights: Machine learning means AI can analyze calls and build data for future action.
• Intelligent call routing: AI takes care of the initial hurdles in a call and directs it to the appropriate agent or team.
• Agent assistance: AI isn’t just for your customers, it can also help your agents by providing real-time insights, and prompt beneficial solutions.

Benefits of AI in Contact Centers

When integrated correctly, AI brings cascading benefits to every KPI a contact center may have. Some of the most valuable benefits include:

Saves Time

AI Agents help save time across your entire workforce by automating manual tasks such as data entry and user verification. Integrating AI is far faster than hiring and training human employees.

Empowers Better Agent Utilization

AI doesn’t replace human agents – it assists them. By taking care of mundane tasks, AI Agents give humans more time to focus on complex problems.

Provide Effective Translation

Agents powered by Generative AI and Conversational AI can understand customer queries in over 100+ languages.

Boosts Customer Satisfaction

AI Agents help to improve satisfactory resolutions which leads to very satisfied customers.

Supports Long Term Growth

Scaling AI is cost-effective and straightforward. AI Agents create call logs and gather data-driven insights.

Use Cases of AI in Contact Centers

1. Identification & Verification

AI Agents can take care of the initial phase of user identification and verification without human intervention.

2. Self-service

Providing a self-service option helps reduce call volume and improves customer satisfaction.

3. Call Routing

AI Agents can understand the context of a customer’s request and then automatically route them to the appropriate resource or agent.

4. Agent Assistance

An agent should only have to focus on more complex problems. An AI can provide them with real-time support during the call.

5. Call Wrap-Up & Analysis

Contact center AI will automatically transcribe customer calls and create a summary in the relevant case log.