Customer service is an area where artificial intelligence is making a direct impact on the daily workings of a business.
While customers expect speed, accuracy and a personalized service, customer-service teams have to deal with repeated questions, large volumes of requests, and increasingly complex interactions.
Conversational AI is helpingbusinesses to deal with some of these challenges while keeping human staff fully involved.
What is Conversational AI?
Conversational AI uses AI systems that are developed to be interactive with humans and that use natural language.
Traditional rule-based chatbots are often programmed with decision trees, so they can only carry out predetermined actions or answers. This contrasts with AI systems that can recognize questions and producecontextually relevant answersusing AI models.
Businesses can deploy these systems through the various customer-service channels and have them respond to routine queries, provide information to users, etc.
Repetitive Customer Queries
Customer-service departments frequently receive identical questions that are asked repeatedly.
Customers might inquire about:
features of a product;
availability of services;
orders;
aspects relating to their account;
pricing; or
*basic troubleshooting.
These questions might traditionally need a human resource to find answers and communicate them. Instead, customers can get this information through conversational AI, which will significantly reduce the number ofrepetitive tasks for the members of customer service teams and let them address more complex interactions.
Providing Timely Answers
The customer's response time has a significant impact on their perception of their customer service experience. Waiting too long for a simple answer to a question is frustrating for many users.
The speed offered by conversational AI ensures that customers will be responded to immediately. However, this cannot come at the cost of response quality; an AI should not be configured to generate responses unless the information is from a reliable source and it should have appropriate escalations for when it can't handle the request.
Personalizing Customer Interactions
AI can also assist with the delivery of personalized experiences. Many businesses have a great deal of information stored within CRM systems or elsewhere, and this can be leveraged with artificial intelligence to enrich interactions.
It helps to analyze information available to better formulate relevant responses, by having an idea of customer preferences, or past interactions, in order to generate contextual responses as opposed to impersonal answers.
Human Agent Support
In most cases, AI is not designed to replace human staff entirely. But AI-powered systems will be most useful as assistant to human agents.
These systems can help agents by doing things such as:
summarizing conversation history;
finding relevant articles or information;
helping write responses;
categorizing requests;
identifying frequent questions;
routing conversations appropriately; etc.
This system will be beneficial because the human agent has time to check information or assistances provided by AI and then carry out the conversation, combining speed with human judgment.
Enhancing Consistency
Different staff in customer-service organisations can potentially answer customer queries differently. There could be multiple agents taking calls or dealing with customer support requests over a range of hundreds of customer-service representatives, and so providing reliable information can be difficult.
Standardized data and approved answers provided through the AI can improve consistency and ensure that representatives adapt responses to specific customer situations.
Empathy has Its Place
Customer service and providing information are not the same thing. Clients may be experiencing problems due to confusion, frustration or any number of other factors that requires them to speak to a human. AI will take care of repetitive interactions, but empathy for any unusual situation must be maintained throughout the interaction. Customer service strategy should thus define where and when humans have to step in.
Data Privacy and Responsible AI
It is essential that customer interaction data is adequately secured and is handled responsibly according to data privacy regulations. It is also important that customers are informed about how and where their information is being processed and that they continue to trust companies with this data.
The Future of Customer Interactions
Conversational AI is predicted to grow significantly within the context of customer service infrastructure. The majority of modern implementations won't necessarily exclude human presence but will instead blend human expertise and automated AI. The latter will efficiently handle recurring, mundane tasks as well as information processing while human agents will address all complex issues and relationship matters where empathy and experience counts.
If businesses are currently evaluating their customer service strategy in relation to AI and conversational interfaces they may wish to consider the services offered by CommconAI.
The future is not about robots taking jobs away from their counterparts in customer service; it is about equipping human customer service staff with the best tools, enabling them to communicate with their customers faster, more uniformly and more intelligently.
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