AlloBrain

Challenge

As a major player in social protection, Intériale had to cope with a constant influx of requests from its members. The challenge was twofold: absorbing activity peaks that saturate contact centers, while guaranteeing total availability (24/7). Traditional tools on the market proved too limited to understand the nuances of requests, forcing the mutual insurer to look for a solution capable of grasping the members' real intent rather than relying on simple keywords.

Solution

Intériale relied on AlloBrain's unified intelligence platform to deploy a progressive omnichannel roadmap across three complementary building blocks:Voicebot: Automated management and analysis of inbound phone calls.Chatbot: 24/7 instant support accessible on the website and mobile app.Mailbot: Automated categorization and response assistance for inbound email flows.‍

🏆 GOLD Award for Omnichannel Customer Relations & the GRAND PRIX at the 2026 Insurance Golden Cases (Les Cas d’Or de l’Assurance)

‍

Problem Statement

Understanding member intent without imposing wait times

The rigidity of keywords: Traditional chatbots hit a ceiling because they rely on static rules. For a complex sector like healthcare (benefits, contributions, third-party payment), members need to be understood from their very first message without having to rephrase.
Service disruption outside business hours: A question about a reimbursement arising on a Sunday evening at 10 PM previously led to a frustrating wait until Monday morning. The mutual insurer wanted to offer an immediate and reliable response, generated directly from its own knowledge base (RAG).
The invisibility of interaction data: Since channels traditionally operate in silos, analysis of the "Voice of the Customer" was limited to manual sampling (around 1%). It was essential to capture, transcribe, and structure 100% of the flows to identify actual pain points (login issues, direct debits).

Implementation

A single, omnichannel AI engine: Unlike stacking separate tools for each channel, all conversations (voice, chat, email) flow into the same generative AI engine, which centralizes and consolidates knowledge.
Qualified escalation logic (Human-in-the-loop): The AI evaluates tone and urgency in real time. If the topic proves sensitive or complex, the bot hands over to a human advisor, transferring the complete history of the exchange.
Continuous learning loop: Every interaction processed in production is used to fine-tune scripts and identify emerging topics, increasing the bots' autonomy over time.

Impact & Results

A fluid and seamless experience: Across all combined flows, 36% of requests are resolved autonomously and completely by the AI, ensuring zero wait time. The chatbot achieves an excellent satisfaction rating of 4.7/5.
100% of the Customer's Voice decoded: The top 5 major trends (contract management, contributions, personal account login issues, reimbursements, and direct debits) are objectively tracked, allowing user journeys to be adjusted based on measured facts.
Relieving team congestion: With simple requests automated from end to end, the call center gets breathing room, allowing advisors to leverage their expertise on the most complex and sensitive cases.

Next Steps

Full CRM Interconnection: Finalize IT connectors to log every interaction into the customer file, delivering a 360-degree view of the member.

‍