DJM lab partners with Volubile to accelerate the deployment of AI agents

Modified on
9.10.2026

Artificial intelligence is no longer limited to generating content: it can now understand, converse, and act directly within a company's processes.

This evolution is the foundation of the partnership between DJM lab and Volubile, with a shared goal: to identify the right use cases, test them quickly, and turn AI into a concrete driver of performance, efficiency, and improved customer relations.

Why this partnership with Volubile? 

Volubile, specialist in voice and conversational AI agents

Founded in 2023, Volubile has grown rapidly alongside the rise of artificial intelligence, specializing in automating customer interactions through AI agents capable of understanding, conversing, and taking action. Their mission: to help organizations managing high call volumes automate their inbound and outbound exchanges while improving customer relations and operational performance.

Their platform combines the various components required to deploy AI agents: speech recognition and synthesis, language models, knowledge bases, telephony, multi-agent orchestration, integrations with business tools, and reporting. It can connect to CRMs, ERPs, calendars, or business applications via native integrations and APIs.

Volubile currently supports over 400 companies in Europe and internationally, across sectors such as energy, retail, tourism, insurance, automotive, and logistics. Their technology is already adopted by several market leaders, including Bouygues Telecom, Chronodrive, Groupe RETIF, MMA Assurances, and Mondial Relay, for use cases ranging from appointment scheduling to customer support, lead qualification, and outbound calling campaigns.

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Complementary expertise 

At DJM lab, our role is not to deploy AI for the sake of AI. We start with a business need: where can automation truly add value?

This is precisely where the expertise of DJM lab and Volubile complement each other.

Volubile provides the technological platform dedicated to conversational AI agents, handling conversations, telephony, integrations, reporting, and large-scale deployment.

DJM lab provides the foundational thinking around which scenarios to automate, then handles agent configuration, prompt engineering, and continuous optimization based on real-world interactions.

The goal is not just to create an agent capable of conversing, but to build a solution integrated into the company's processes, designed around a concrete need and capable of generating measurable impact.

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AI agents that move from conversation to action

Today, an AI agent can intervene at various stages of the customer relationship or internal operations: answering inbound calls, qualifying leads, scheduling appointments, handling support requests, or launching outbound calling campaigns.

Connected to your existing business tools, these agents can look up information in a CRM, check availability, update data, trigger actions, or automatically hand off context to a team member when human intervention is required. The Volubile platform integrates seamlessly with tools like Salesforce, HubSpot, and various other business software via API.

They can also leverage a knowledge base and utilize data generated during interactions. Every call is analyzed and can be automatically qualified based on the outcome, satisfaction level, or other predefined business criteria. This qualification then allows you to track performance, identify trends, refine scenarios, and create targeted callback or follow-up campaigns based on conversation results.

What’s next?

This partnership marks a new milestone in our support for businesses implementing AI.

With Volubile, we want to go beyond simply exploring the possibilities of AI. Our goal is to start with concrete business challenges, identify tasks that can truly be automated, and quickly test what delivers real value.

In practical terms, this can start with a simple process: qualifying incoming requests, scheduling appointments, answering recurring questions, handling call spikes, or automating specific follow-ups.

From there, we can define the scenario, build an initial agent, test it in your environment, and measure its impact before considering a wider rollout.

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At DJM Lab, we don't just build products. We build success stories.

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