What is AI for Customer Service

AI for customer service is defined as the technologies and the process of leveraging AI to automate customer support and knowledge management tasks as well as augment/assist humans, i.e., contact center agents, branch workers, and field service agents, in their customer conversations for effective, efficient, and consistent problem resolution and personalized advice.

Among commonly used AI technologies are Natural Language Processing, ML, Case-Based Reasoning, and Conversational Generative AI, among others. Businesses need a trusted AI knowledge hub for AI and knowledge orchestration so that the right AI is used and the right knowledge delivered for the right situation through the right channel in the right tone.

Here are some commonly used AI technologies used for customer service and what they are:

• Machine Learning (ML) and Natural Language Understanding (NLU): Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed (Source: MIT). NLU is the ability to understand natural language input, infer user intent, and respond accordingly.
• Generative AI or gen AI: Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Recent breakthroughs in the field have the potential to drastically change the way we approach content creation (Source: McKinsey).
• Conversational AI: Conversational AI leverages technologies such as Case-Based Reasoning to guide frontline staff in their customer interactions as to the next best question to ask and the next best thing to do in their effort to resolve problems or provide advice. Conversational generative AI can also be used to drive conversations where regulatory compliance is not critical and drive customer self-service conversations.
• Case-based Reasoning: Looks at past cases to resolve new cases just like a doctor would go about diagnosing a disease or a sales expert would go about recommending a new product to a customer.

And much more.

When applied the right way, using AI for customer support can help automate and improve processes end to end. Here are common use-cases:

• Understand query intent: Not just hearing what the customer says (the “utterance”) but inferring intent and diagnosing the real problem.
• Customer self-service: Upon understanding customer intent, AI help can drive self-service so customers can help themselves.
• Route the query: If self-service fails, AI can help route the customer’s query to the right queue or human agent in an intelligent manner. This improves response times and ensures that the query is resolved effectively and efficiently.
• Leverage context: Context goes beyond the customer utterance and the current customer conversation. It includes checking the customer’s previous interactions, purchase history, and other account details as well as their current sentiment for a 360-degree view of the context to recommend the next best step.
• Resolve the query: AI technologies such as Conversational Generative AI and Case-Based Reasoning can provide real-time guidance to frontline staff to help them resolve customer issues while ensuring compliance. This can help make all your frontline agents as good as the best ones!
• Analyze and improve: Continuous improvement is key to improving customer service experiences. Analyzing customer interactions and knowledge-base adoption and effectiveness can provide insights into how customer service performance can be improved. Generative AI can help mine customer conversations for actionable insights.

1. Reduced Service Costs

AI can help reduce service costs while elevating the quality of service at the same time. Our clients have seen up to a 90% deflection of customer service requests to digital self-service, 35% improvement in First-Contact Resolution (FCR), 15% reduction in Average Handle Time (AHT), and 50% reduction in agent time-to-competency. Proactive customer service AI can help preempt customer service calls. In addition, knowledge automation with AI accelerates speed to value. For example, our clients have been able to speed up knowledge creation and curation tasks by 5X with the GenAI capabilities in eGain AssistGPT.

2. Improved Customer and Agent Experience

AI-driven personalization enables businesses to deliver tailored experiences that improve customer satisfaction. Moreover, the eGain AI Knowledge Hub enables service organizations to personalize conversational guidance. For example, a novice agent can be required to go through a step-by-step process while an experienced agent may be allowed to take short cuts.

3. 24/7 Availability

In today’s global marketplace, customers expect round-the-clock support, regardless of their location or time zone. AI-powered chatbots and virtual assistants ensure that businesses can provide round-the-clock support and assistance to customers anytime, anywhere.

Trust

A big barrier to AI adoption is a lack of trust in the answers it delivers. GenAI may hallucinate in some instances or give different answers to the same question. There is also the garbage-in-garbage-out problem. If AI is not trained on trusted data and content, it will generate and deliver garbage at the other end. This can increase financial and legal exposure for the business, especially in regulated industries such as financial services and healthcare. The solution here is to layer AI on a trusted knowledge foundation and orchestrate knowledge and AI centrally in a hub. This is exactly what the eGain AI Knowledge Hub does. Trust, in turn, increases user adoption and business value.

Change Management

Key stakeholders such as contact center agents, knowledge authors, and subject matter experts may be skeptical when deploying AI and knowledge base articles for customer service. They might worry that the new system may limit their career growth. These concerns can be overcome by positioning the initiative properly, focusing on what’s in it for them and how to use AI to expand their career opportunities rather than limit them—for instance, they can support a broader portfolio of products, ascend to Level-2, or get into value-added activities such as sales with AI augmentation.

Multinational Financial Services Provider

Improved First Contact Resolution (FCR) by 36% and slashed training time by 40% with the eGain AI knowledge hub.

Hypergrowth SaaS Company

Improved contact center agent confidence by 60% and self-service adoption by 30%, while improving their gross margin three years in a row, thanks in part to customer service automation, powered by the eGain AI Knowledge Hub.

Large Federal Government Agency

Experienced “phenomenal success” with the eGain AI Knowledge Hub. The hub empowers 25 million users and 128,000 contact center agents and other customer service personnel with consistent and accurate information and AI-guided customer service processes, compliant with regulations. Thanks in part to eGain, their position in the Forrester CX Index improved by 33% in 2021 over 2020!

Mammoth Federal Government Agency

After implementing the eGain AI Knowledge Hub, deflected up to 70% of incoming calls to AI-powered virtual assistance, reduced case handling time by 25%, and improved form-filling with granular knowledge assistance within forms. No wonder these powerful capabilities elevated their agent engagement to 92% versus their industry benchmark of 67%.

Premier Health Insurance Firm

Reduced agent training time for handling complex health insurance queries by 33% even as its agents—over 2,000 of them—had to go remote overnight due to COVID lockdowns. In fact, eGain’s AI-backed knowledge capability helped them meet all 30 of their goals, including slashing Average Handle Time and increasing First Contact Resolution, while vaulting them to a top 5 rank in Forrester’s CX Index benchmark evaluation.

Have you ever bought a car without a test drive or by pushing a toy car? The answer for most people is a no. The same principle applies to acquiring AI solutions for customer service. Why risk it with a toy sand box or without a production pilot? Our Innovation in 30 days program is a no-charge, no-commitment production pilot with expert guidance for success. Many of our enterprise clients have taken advantage of this approach and adopted our AI customer service solution risk-free. Learn more about it here.

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