10 Voice AI Use Cases Transforming Customer Experience

Samuel Nespolo-Besson, Senior Manager at Converteo, co-leads the customer service transformation practice through agentic AI. He guides enterprises in integrating smart conversational solutions (voicebots, chatbots) to build sustainable, optimized user journeys.

Key Takeaways

• Voice is deploying across highly diverse sectors today: financial services, healthcare, retail, automotive, recruiting, publishing, and food service. It is no longer confined to the call center.
• The first mature use cases often position AI as an assistant to the human rep before gradually shifting toward broader customer service automation.
• The most radical shift with voice AI is the ability to scale 24/7 across multiple languages: launching a global customer service operation just became exponentially simpler.

When we talk about voice agents, the immediate reflex is to think of the call center. That makes sense—it’s the most visible use case with the most immediate economic stakes. But voice stretches far beyond that scope.

In recent months, mature use cases have emerged in unexpected sectors, both in France and internationally. Here is a breakdown of ten use cases that reveal what voice is becoming: no longer just an alternative to phone menus, but a fully fledged interface between brands and their customers.

1. Voice AI for Financial Services

The banking and insurance sector was one of the first to move. Three approaches coexist.

Direct call center replacement, illustrated by Klarna: a few years ago, the company announced the elimination of 700 call center jobs thanks to its AI agent. The move made headlines and continues to shape the industry debate.

Rep assist, on the other hand, replaces no one. The AI listens to the conversation and pushes the right information or talking point to the human rep at the exact right moment. This is Morgan Stanley’s approach, equipping its bankers to pitch the right service in the right situation.

Direct-to-consumer voice agents, like at Revolut, where they are beginning to test voice interactions for simple, everyday banking tasks.

2. Voice AI for Food Service and Drive-Thrus

In the US, this is one of the most active playgrounds. Drive-thru order taking is rapidly automating. The technical challenge is telling: the system must handle not just English, but Spanish and a massive diversity of accents. Fast-food chains view this as a dual answer to labor shortages and margin pressure.

3. Voice AI for the Connected Car

The car cabin is arguably where voice most naturally dominates as the primary interface. Hands are busy, eyes are focused: talking to your car becomes obvious. Beyond simply tweaking the AC or navigation, an entire ecosystem of services is invading the dashboard, letting drivers order, book, or pull info without taking their eyes off the road.

4. Voice AI for Healthcare

This is one of the most mature use cases today. Doctolib rolled out a solution for healthcare professionals that listens to the consultation, takes notes, and drafts the medical summary. The productivity gain is massive, and the logic extends far beyond the doctor’s office: any profession that generates heavy documentation from verbal exchanges (lawyers, consultants, researchers) falls under this exact same umbrella.

5. Voice AI for Recruiting

Voice AI is also entering the top of the hiring funnel. French startup Empeople, for example, automates the talent acquisition phase: an agent conducts initial screening interviews, qualifies the candidate, and forwards a brief to the human recruiter, allowing them to focus entirely on the highest-potential profiles.

6. Voice AI for Publishing and Audiobooks

Audible partnered with ElevenLabs to produce audiobooks. This shift is more structural than it looks. For a long time, audiobook quality bottlenecked on the availability of good voice actors capable of sustaining long reads with the right intonations. With mature speech synthesis models, production can scale to a whole new level while maintaining an acceptable quality bar for listeners.

7. Voice AI for E-commerce Retail: From Chatbot to Voicebot

Telecom operator BR Telecom started with a chatbot to handle the “night shift” on its website when the human call center was closed. The experiment worked so well—posting a conversion rate equal to, or slightly higher than, a human rep on the phone—that the company expanded it to 24/7. They then rolled out a voice version in their mobile app. The voicebot now guides customers through selecting a phone and a data plan, featuring a UI that reacts to the conversation in real time.

8. Voice AI for In-Store Retail: Assisting Sales Associates

On the physical store floor, the logic mirrors Morgan Stanley’s banking approach: the AI isn’t there to replace the sales associate; it’s there to augment them. The goal is giving every in-store rep real-time access to product specs, inventory, and customer history. Voice becomes the most natural way to query this copilot without breaking eye contact or the relationship with the customer.

9. Voice AI for Robotics: Voice as the Default UI

This steps slightly outside pure customer service, but it’s worth noting. Consumer-facing robots (like Pollen Robotics’ little Reachy) rely on voice as their primary interface. Ultimately, this will likely become the default interaction modality for these machines simply because it is the most natural.

10. French Players in Voice AI

To avoid ending on a purely international overview, several French enterprises have launched highly visible projects: BNP Paribas and Banque Populaire are working on voice, SNCF Voyages deployed “Eloïse,” and Carrefour is advancing on initially text-based use cases that are gradually shifting to voice. The French market is keeping pace, dealing with its own dynamics and constraints (language, compliance, relational culture).

Three major trends emerge from this landscape.

• First, voice is setting up shop far beyond the call center. Healthcare, retail, automotive, publishing: these are entirely different playing fields, each with their own value economics.
• Second, the most mature rollouts often begin by assisting human reps before evolving into broader automation. It is a safer bet for organizations and easier to industrialize.
• Finally, voice AI rewrites the math on international scaling. Staffing 24/7 customer service across ten languages used to be a massive standalone project. With a voice agent, that constraint disappears overnight. The brands that internalize this first will build a competitive moat that will be incredibly hard to cross.