AI in Customer Service: 4 Essential Factors to Assess Before Adoption

AI in Customer Service: 4 Essential Factors to Assess Before Adoption.

The rapidly evolving landscape of customer service has led businesses to embrace digital transformation, making the omnichannel contact center an essential component of their strategy. To keep up with customer demands and provide exceptional service, many organizations are turning to Artificial Intelligence (AI) solutions. AI can significantly enhance customer experiences, streamline operations, and optimize resources. However, implementing AI is not without challenges.

Before diving headfirst into AI integration, it is crucial for businesses to carefully consider certain factors. In this blog, we will explore three essential considerations to bear in mind before adopting AI in your omnichannel contact center.

1) Define Your Objectives Clearly.

The first and most critical step before implementing AI is to identify the specific objectives you want to achieve. Many AI solutions cater to different aspects of customer service, such as chatbots for basic inquiries, sentiment analysis for customer feedback, or predictive analytics for resource management. According to Gartner, Inc., by 2027, chatbots will become the primary customer service channel for roughly a quarter of organizations. By understanding your specific requirements, you can narrow down the choices and select the AI technologies that best align with your business goals.

Start by conducting an in-depth analysis of your existing customer service operations and pain points. What recurring tasks could be automated? Are there bottlenecks in your communication channels? What customer needs are currently underserved? Answering these questions will help you focus on the areas where AI can have the most significant impact.

Implementing AI into your chatbot needs to consider a selection of pertinent chatbot metrics (e.g., goal completion rate, abandonment rate, conversation steps, handle time, etc.) to align with the organization’s specific context.

Additionally, involve key stakeholders from different departments to gather valuable insights and ensure alignment with the overall business strategy.

2) Focus on Customer-Centric Design:

Salesforce’s State of the Connected Customer report found that 75% of customers expect a consistent experience across multiple channels, highlighting the importance of implementing AI in omnichannel contact centers.

The success of a chatbot hinges on its ability to empathize and effectively address customer needs. Invest in user-centered design to create a chatbot that mirrors natural human conversations and displays understanding. Integrate sentiment analysis to gauge customer emotions and tailor responses accordingly. By delivering relevant and personalized interactions, your chatbot can foster positive customer sentiments.

A McKinsey report suggests that generative AI could further reduce the volume of human-serviced contacts by up to 50%, depending on a company’s existing level of automation, which resulted in a significant reduction in operational costs.

The above example of table provides an overview of an ideal flow of cycle, from a customer’s request through social media channels, up until the issue has been resolved on-field. Made possible with the implementation of an Omnichannel CRM integration.

3) Data Privacy and Security

AI thrives on data, and an omnichannel contact center generates vast amounts of customer data from various touch points like calls, emails, chats, and social media interactions. Before integrating AI, it is paramount to address data privacy and security concerns.

A survey by the International Association of Privacy Professionals (IAPP) revealed that 86% of consumers “care about data privacy” and want more control, and 79% of consumers are willing to invest time or money to better protect their privacy, emphasizing the importance of stringent data protection measures. In addition, the global average cost of a data breach in 2023 was USD 4.45 million, a 15% increase over 3 years, sourced by IBM.

Hence, ensuring that the AI solution you choose complies with industry regulations and data protection laws. Customer trust is vital for a successful contact center, and any data breaches or misuse of information can lead to severe reputational damage. Having a reliable Omnichannel contact centre provider is of utmost importance citing the above examples, given facts and figures.

Invest in robust security measures to safeguard customer data throughout its lifecycle. Implement encryption protocols, access controls, and regular security audits. Additionally, have a clear data retention policy to limit the storage of unnecessary data and minimize potential risks.

4. Seamless Human-AI Collaboration

While AI can automate various tasks and improve efficiency, it is essential to remember that human agents still play a crucial role in delivering exceptional customer experiences. Implementing AI should not be viewed as a replacement for human agents but rather as a tool to empower them.

A blend of human and AI-driven customer service is important. PwC’s survey of 15,000 consumers across 12 countries found that two-thirds feel companies have lost touch with the human element of the customer experience. Additionally, three-quarters of respondents expressed a desire for more human interaction in the future, not less.

Ensure that your AI systems are seamlessly integrated with your existing infrastructure and workflows. AI should support human agents by providing relevant information, context, and suggested actions in real-time, enabling them to make more informed decisions and focus on complex customer interactions.

Harvard Business Review predicts that AI could add $15.7 trillion to the global economy by 2030. This projection has sparked discussions about the potential transformation of our workforce, with some envisioning an unrecognizable landscape by 2040. AI should enhance, not replace, the role of human agents.

Invest in comprehensive training for your agents to help them adapt to AI-driven processes. Encourage open communication channels to gather agent feedback and continuously improve the AI system’s performance.

Embracing AI in your omnichannel contact center can revolutionize the way you deliver customer service. However, to maximize the benefits and avoid potential pitfalls, it is crucial to carefully consider your objectives, prioritize data privacy and security, and foster a seamless collaboration between AI and human agents.

By setting clear goals, prioritizing data protection, and ensuring a harmonious blend of AI and human capabilities, your contact center can offer a superior customer experience that sets your business apart from the competition. Remember, successful AI implementation is a journey, and continuous monitoring and adaptation are keys to unlocking its true potential. Accordia Global can help with that journey!


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