AI Voice Agents: Revolutionizing Customer Service

A New Era for Voice Automation Tools

For many years, simply hearing an automated voice on the phone caused apprehension among users. Interactive voice response systems, often limited to predefined choices, left an impression of rigidity and impersonality. Customers often had to adapt to the machine, leading to frustrating experiences. However, recent advancements in artificial intelligence are transforming this dynamic, making interactions smoother and more natural.

Towards Smarter Conversational Agents

Early telephone automation systems relied on rigid scenarios, limiting the ability to interact with customers. Today, conversational agents have evolved to allow for more natural exchanges. Cyril Chambellan, Vice President of Product at Axialys, explains that these agents can now understand and respond to customers' natural language. This means they can rephrase questions, access databases for additional information, and tailor their responses based on context.

Unlike older systems, these modern agents do not follow a linear path. They can handle conversations where steps are not followed in the expected order, thus offering increased flexibility. Rather than trying to instill a universal knowledge base, companies like Axialys prefer to configure these agents to meet the specific needs of each customer, improving the accuracy and relevance of the responses provided.

These conversational agents also stand out for their ability to execute business actions in real-time through the MCP (Model Context Protocol). This protocol allows them to connect to external tools, such as customer relationship management (CRM) systems, to update information, record orders, or create follow-up tasks. These operations occur in the background, without interrupting the flow of conversation.

Optimizing Repetitive Tasks

Voice agents are particularly effective at handling repetitive requests, such as appointment scheduling, frequently asked questions, and order tracking. Cyril Chambellan emphasizes that the goal is to free human advisors from routine tasks, allowing them to focus on more complex requests where their expertise is needed. For example, a customer asking for a store's opening hours can be handled by a voice agent, while another needing assistance in case of a breakdown on the road will benefit from human intervention.

The Voice Agent as an Initial Filter

Artificial intelligence does not merely respond automatically to requests. It also plays a crucial role in directing calls to human advisors when necessary. Some companies use voice agents to greet calls, determine if an automatic response is possible, or if a transfer to an advisor is required. In other cases, the voice agent only intervenes when all advisors are busy, thus preparing the ground for a more efficient exchange.

AI can gather relevant information, qualify customer needs, and relay the context to human advisors before the call transfer. This allows advisors to avoid starting from scratch and to have an immediate understanding of the customer's situation.

Increased Availability Through AI

One of the major advantages of voice agents is their continuous availability. Unlike human teams, AI can handle certain requests outside of office hours. Cyril Chambellan notes that this allows customers to receive answers even at night, for tasks such as appointment scheduling or FAQ consultation, without requiring the presence of a human operator.

The Impact of AI After the Call

Artificial intelligence does not only enhance real-time interactions. It also plays a crucial role after calls, thanks to transcription and analysis tools. These technologies, although already existing, have been refined to provide an overview of customer feedback, without being limited to occasional supervisor listens. This allows for identifying training needs, improving internal processes, and detecting emerging trends in customer requests.

Cyril Chambellan insists that the goal is not to replace human advisors but to assist them. The adoption of voice agents should enable companies to find the right balance between automation and human intervention, depending on the specific needs of each task.

Post-call analysis is directly integrated by Axialys into the CRMs of companies, allowing for optimal use of the collected data to improve services and meet customer expectations.