AI Email Categorization in Outlook

Geography
Germany
Industry
Automotive
Size
200+ employees
Implementation
2025
A Short Reference about the Project Team

The project team comprised specialists in Dynamics 365, Power Platform, Azure, and AI. They focus on implementing AI functions into business processes for customer support and applied generative AI best practices throughout this project.
Client’s Request

The company receives about 500 incoming emails from customers and suppliers every day. Pre-processing of each email is done manually and includes setting the appropriate tag and attaching the message to the required entity in CRM. On average, this operation takes from 2 to 5 minutes per email, which creates a significant burden on the team.
As the customer base grows, the number of emails will keep rising, making the current approach hard to scale. Therefore, a solution was needed to automate email pre-processing, reduce the impact of the human factor, and ensure fast, stable integration with the CRM.
Briefing

Therefore, the project team decided to focus on automating email pre-processing to reduce the impact of human error and ensure fast, stable integration with the CRM.
Preparation

Thus, the solution was to implement an AI agent in Copilot Studio that automatically processes incoming emails from Outlook. The agent would analyze the content of the email, determine its type and business context, and then perform categorization and link the message to the appropriate entity in Dynamics 365.
Realization
Therefore, to implement the client’s request, we used Microsoft Copilot Studio, in which we created a new AI agent.
Visualization

What the Customer Received
The final results demonstrate the team's high efficiency during the project.
Manual email pre-processing (tagging, categorization, and CRM linking) was fully automated, reducing handling time per email from several minutes to zero and freeing the team to focus on higher-value tasks.
Automated analysis, categorization, and CRM attachment eliminated inconsistencies caused by manual work, ensuring emails are classified correctly and linked to the right CRM entities.
Each incoming email is automatically analyzed, matched to the relevant case or entity, categorized in Outlook, and attached to Dynamics 365, creating a complete and traceable communication history.
The solution supports a growing volume of incoming emails without increasing workload or staffing needs, ensuring stable, efficient operations as the customer base and communication traffic expand.
Summary
The agent automatically processes incoming emails without user intervention, significantly reducing time, and simplifying daily work with mail and CRM. The main advantage is full automation of the process: categorization of emails, searching for related records, and attaching emails to the appropriate entities are performed without manual intervention.
Users no longer need to analyze each email or manually search for the required record in the CRM, as all preprocessing is automated. This reduces the team's workload, minimizes errors, and ensures stable, scalable work as the number of incoming messages increases.
Some Materials that May Interest You
- Intelligent Document Processing with Microsoft AI
- AI CRM Chat Assistant for Invoice Validation
- Dynamic AI Assistant for Invoicing
- Training and Deploying Custom AI Models for Specific Business Applications
- AI-powered Document Recognition
- AI Assistant Knowledge Base Document Management
UDS service:










