The Overview
The Challenge
The Solution
The Results

Overview

Groupe Amiel is a Canadian distributor and retailer specializing in household appliances. As the company expanded across multiple brands and channels, its customer service operations faced increasing pressure from growing case volumes, fragmented knowledge sources, and manual service processes. 

Home appliances retail store with modern electric appliances

To improve service efficiency and customer experience, Groupe Amiel partnered with Talan to deploy AI-powered agents within Microsoft Dynamics 365 Customer Service.

Talan and Microsoft Dynamics 365

The  Challenge

Groupe Amiel’s customer service teams were managing a high volume of service cases with varying levels of complexity. The existing processes relied heavily on manual work and fragmented information sources, which limited productivity and slowed case resolution. 

Key challenges included: 

  • High volumes of incoming service cases Lengthy case creation processes requiring multiple back-and-forth interactions with customers 
  • Customer service representatives searching across multiple vendor portals for documentation 
  • Manual follow-up notes and case updates 
  • Knowledge and interaction data scattered across emails, chat logs, and contact center systems 

These constraints resulted in longer response times, reduced operational efficiency, and increased pressure on service teams.

Customer service challenge

The Solution

Talan implemented AI-powered service agents within Microsoft Dynamics 365 Customer Service to streamline case handling, improve knowledge management, and assist service teams in resolving customer requests faster. 

 

The deployment focused on three key AI agents:

Case Management Agent

Automates case creation, updates, and follow-ups while enriching case information from email and chat interactions. 

Capabilities include: 

  • Automatic case creation and updates 
  • Email follow-up automation 
  • OCR processing of email attachments 
  • Automated information gathering from customer communications
Customer Intent Agent

Identifies customer intent across service channels to accelerate issue resolution.

Capabilities include: 

  • Intent detection across chat, transcripts, and email interactions 
  • Dynamic question suggestions during live conversations 
  • Context-aware troubleshooting support for service representatives
Knowledge Management Agent

Continuously improves and updates the knowledge base using insights from resolved cases and service interactions. 

Capabilities include: 

  • Automatic discovery of new issue patterns 
  • Drafting and updating knowledge articles 
  • Integrating insights from chat logs, transcripts, and emails

These agents are surfaced directly within Dynamics 365 Customer Service, enabling service representatives to access AI-driven insights without leaving their existing workflows.

 

Implementation Approach 

The project was delivered in three months, with Talan leading the design, configuration, and deployment of the first-party AI agents. 

The approach focused on incremental value delivery: 

  1. Identify high-impact service use cases 
  2. Configure and deploy pre-built 
  3. AI agents Integrate knowledge sources and interaction data 
  4. Establish a roadmap for future agent use cases

This iterative approach ensured measurable improvements while building the foundation for broader AI adoption across service operations.

Customer Services Agent

Expected Business Impact 

By introducing AI-assisted service workflows, Groupe Amiel expects to achieve: 

  • 2× case-handling capacity for service teams 

  • Reduced resolution time for customer requests 

  • Improved response quality and consistency 

  • Higher customer satisfaction through faster support 

AI agents help service teams focus on higher-value interactions while automation handles repetitive tasks and knowledge retrieval.

AI Agent for Customer Service

Building the Foundation for AI-Assisted Service 

For Groupe Amiel, AI agent deployment is not a one-time initiative but the start of an ongoing transformation. 

By introducing AI into core service processes, the organization is building a scalable foundation for AI-assisted customer operations—where automation, knowledge, and human expertise work together to deliver faster and more reliable service experiences.

Team meeting_Dynamics

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