contact centre AI

Conversational AI and the Contact Centre: The perfect customer service pair

By Khushal Hirani, Customer Success Manager

You can’t celebrate Customer Service Week without talking about the contact centre. Onboarding agents in a contact centre can be very time consuming and expensive. From the recruitment process, to training, up until they are on the floor taking calls, it takes a very long time until new agents are self-sufficient.

The job of a fully trained contact centre agent can also be extremely stressful. They must remember how to use several tools and different areas to access certain knowledge. They often must memorise certain scripts and be able to explain detailed processes. This puts a lot of pressure on agents and can result in a poor customer experience, unnecessarily long call times, and low customer satisfaction scores.

For example, contact centre agents tend to keep notepads or workbooks with their own notes at their desks to ensure they remember the processes. This means communication of processes from one agent could be completely different when speaking to clients than from another agent.

Too often contact centre agents are also dealing with many tools and applications to do their job. This means that before they can even start working with customers, they face extensive training to learn them all. Then after completing their training, this makes it hard for contact centre agents to switch between screens while answering customer questions. This increases the time on the call for customers and creates a very disjointed experience.

Fortunately for contact centre agents and customers, conversational AI tools can help eliminate some of these issues and stresses. Here are some benefits of using conversational AI in your contact centre:

  • Training time is reduced – When contact centre agents are onboarded, the training time is reduced as the agents don’t need to learn complicated tools or multiple applications. This means less time to get agents to the floor and more of a focus on training agents on the human side of providing empathetic customer service.
  • Single source of truth – Knowledge and processes are in a single location where everything is accessible to all contact centre agents, giving everyone the same level of knowledge regardless of their experience level. Conversational AI tools like virtual agents can also be set up to provide support through public-facing solutions from the same knowledgebase with answers customised for both agents and self-serving customers.
  • New knowledge identified with agent feedback – Every contact centre agent can identify any knowledge gaps as well as contribute towards creating new processes or updating content with a built-in feedback loop. This keeps the customer experience accurate and consistent by ensuring the most up-to-date information is going out to all the end-users through multiple channels.
  • Integration with back-end systems – Integrations into different applications make it easier for the agents to use conversational AI because they have one tool that lets them find what they need. A customised agent dashboard can bring everything together in one place, including real-time alerts and step-by-step process flows.
  • Reports and metrics tracking – Reporting that is accurate and easy to understand gives important insights into what conversations the agents are having with customers and what knowledge gaps have been identified. This helps you track important metrics and see opportunities to further improve your support experience.

Contact centres are a big investment for companies and important for customer support. When used in the contact centre, conversational AI gives agents easy access to all the knowledge and processes they need to provide a better customer service experience. It makes their jobs easier and lets them focus on the human side of serving customers. Conversational AI and contact centre agents become the perfect customer service pair.