Soham Ghosh, Author at Microsoft Dynamics 365 Blog http://approjects.co.za/?big=en-us/dynamics-365/blog The future of agentic CRM and ERP Mon, 01 Jun 2026 14:13:18 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.5 http://approjects.co.za/?big=en-us/dynamics-365/blog/wp-content/uploads/2018/08/cropped-cropped-microsoft_logo_element.png Soham Ghosh, Author at Microsoft Dynamics 365 Blog http://approjects.co.za/?big=en-us/dynamics-365/blog 32 32 .cloudblogs .cta-box>.link { font-size: 15px; font-weight: 600; display: inline-block; background: #008272; line-height: 1; text-transform: none; padding: 15px 20px; text-decoration: none; color: white; } .cloudblogs img { height: auto; } .cloudblogs img.alignright { float:right; } .cloudblogs img.alignleft { float:right; } .cloudblogs figcaption { padding: 9px; color: #737373; text-align: left; font-size: 13px; font-size: 1.3rem; } .cloudblogs .cta-box.-center { text-align: center; } .cloudblogs .cta-box.-left { padding: 20px 0; } .cloudblogs .cta-box.-right { padding: 20px 0; text-align:right; } .cloudblogs .cta-box { margin-top: 20px; margin-bottom: 20px; padding: 20px; } .cloudblogs .cta-box.-image { position:relative; } .cloudblogs .cta-box.-image>.link { position: absolute; top: auto; left: 50%; -webkit-transform: translate(-50%,0); transform: translate(-50%,0); bottom: 0; } .cloudblogs table { width: 100%; } .cloudblogs table tr { border-bottom: 1px solid #eee; padding: 8px 0; } ]]> Try Email Classification in Dynamics 365 Customer Service http://approjects.co.za/?big=en-us/dynamics-365/blog/it-professional/2026/06/03/email-classification-dynamics-365-case-quality/ Wed, 03 Jun 2026 15:00:00 +0000 Email classification in Dynamics 365 ensures only meaningful customer emails become cases. Reduce noise, improve triage, and boost service productivity.

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Email Classification adds intelligent context to enhance Automatic Record Creation (ARC) and enable a smarter service flow. As emails arrive, classification evaluates content and context upfront before any case is created. It identifies real customer issues early while filtering out irrelevant messages.

This signal feeds into Automatic Record Creation rules, ensuring only meaningful emails become cases while filtering non-actionable messages. Service representatives and agents then focus on relevant cases, enriching, routing, and resolving true customer issues. This creates a cleaner queue and boosts productivity by eliminating time spent on unnecessary case handling.

That early decision point is exactly where Email Classification adds value. Now generally available in Dynamics 365 Customer Service, it uses AI to evaluate each email before a case is created. This helps teams focus only on issues that truly need attention. Previously, the system created a case for every email sent to a monitored mailbox, started an SLA, and assigned a service representative.

Empower service managers with intelligent email triage

Email Classification gives Customer Service teams precise control over how incoming mail is processed from the moment it arrives:

  • Define categories such as Billing, Technical Support, or Marketing to match how your organization actually receives email

Create cases only when needed — prevent categories like Marketing or Notifications from generating cases, eliminating unnecessary SLA pressure

Use email category in ARC to create cases only when needed

Email Classification works best when paired with Automatic Record Creation (ARC) rules. Use the assigned category as a condition in ARC, so cases are created only for emails that genuinely require one and everything else is filtered out before it reaches a queue.

Set up Email Classification

Configuration takes place in the Customer Service admin center under Email settings:

  1. Define your categories — each needs a name and description to help the AI classify accurately
  2. Set scope conditions to control which incoming emails are evaluated
  3. Enable classification — every email that meets your conditions is automatically analyzed and tagged before any case logic runs

Before going live, simulation mode lets you test classification accuracy against your own historical emails so you can validate categories, refine descriptions, and deploy with confidence.

Once enabled, service representatives see only the cases that belong in their queue — routed to the right people, free of noise — and can focus their time where it has the greatest impact on customer outcomes.

Get started today

Ready to reduce queue noise and reclaim service representative capacity? Enable Email Classification in your Customer Service admin center and start with simulation mode to validate your categories. For step‑by‑step guidance, read the documentation:

Configure email classification in Customer Service | Microsoft Learn

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Run case enrichment simulation to assess AI prediction quality in Dynamics 365 Customer Service  http://approjects.co.za/?big=en-us/dynamics-365/blog/it-professional/2026/05/05/case-enrichment-simulation-dynamics-365/ Tue, 05 May 2026 17:04:04 +0000 http://approjects.co.za/?big=en-us/dynamics-365/blog/?p=202182 The Case Management Agent in Dynamics 365 Customer Service empowers admins to measure AI‑powered field prediction accuracy against real organizational data before enabling case enrichment in production: test against historical records, review the results, refine field descriptions, and enable the feature when accuracy meets your bar.

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A Dynamics 365 Customer Service admin has just configured the Case Management Agent to auto‑populate case fields from incoming emails and added field descriptions to help the AI make better predictions. The configuration looks right, but how will the admin ensure that the AI is able to predict case field values accurately? The new case enrichment simulation in Dynamics 365 Customer Service—now generally available—answers exactly that question.

Admins can measure AI‑powered field prediction accuracy against real organizational data before enabling case enrichment in production: test against historical records, review the results, refine field descriptions, and enable the feature when accuracy meets your bar. 

Empower admins to validate AI quality 

Case Management Agent simulations include: 

  • Flexible test data — run predictions against historical case records or sample email and chat data uploaded via Excel 
  • Fieldlevel match reports — see prediction accuracy across every field 
  • Caselevel comparison view — review actual versus predicted values side by side 
  • Excel export — share results offline with stakeholders 
  • Rerun capability — iterate after refining lookup field descriptions or prediction rules 
  • Shadow runs — Validate predictions by activating case enrichment with live production data without writing to records. 

Run your first simulation today 

Don’t wait until production to find out how well the AI performs. Open the Copilot Service admin center, navigate to Case settings > Case Management Agent > Case creation and update > Simulation, and run your first test against historical data. Within minutes you will know exactly where to tune your field descriptions before turning on case enrichment. 

For step‑by‑step guidance, read the documentation: 

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Effortlessly create and update cases with Case Management Agent http://approjects.co.za/?big=en-us/dynamics-365/blog/it-professional/2025/11/14/effortlessly-create-and-update-cases-with-case-management-agent/ Fri, 14 Nov 2025 16:41:33 +0000 Customers expect quick and smooth help when they reach out to customer support—whether it’s about a delayed order, a product question, or a service issue. Good case management means keeping track of all these requests and associated customer conversations to make sure nothing falls through the cracks.  Managing these cases is not always easy.

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Customers expect quick and smooth help when they reach out to customer support—whether it’s about a delayed order, a product question, or a service issue. Good case management means keeping track of all these requests and associated customer conversations to make sure nothing falls through the cracks. 

Managing these cases is not always easy. Fortunately, the case create and case update capabilities of the Case Management Agent (CMA) make life easier for support teams and hence, customers. 

From manual to automated 

A case is like a digital record that holds all the details about the support request. Traditionally, whenever a customer contacts customer service—by chat, email, or voice—a service rep creates a case and manually tracks the issue from start to finish. Now, case create and case update capabilities make this process smarter and more automated than ever. 

Key features and capabilities 

We released the first version of CMA in public preview in April 2025, and now it’s generally available. We’ve taken customer feedback into account and added capabilities to make creating and updating cases more holistic than ever: 

  1. Automatically create a case from chat when the customer service representative accepts the chat request and automatically update it at the end of the conversation. These capabilities are now supported for voice calls and social channels as well. 
  1. When the conversation ends, the conversation summary is posted as a note on the case timeline.   
  1. For any incoming customer email, case will be created through automatic record creation (ARC). The case will be kept updated with details from all incoming customer emails. 
  1. The ability to configure rules based on which case or related entity fields will be predicted. This means you can configure a rule that updates a certain set of fields based on the product in discussion.  
  1. Lookup fields are now supported for predictions. You can add field descriptions for capturing your business context which gets leveraged by AI for prediction. For example, for case category prediction, you can describe what each case category means in your business. 
  1. We have made changes to the administrator settings layout and in the service rep experience when AI updates are made to the case they’re viewing. This will ensure a more intuitive experience. 
  1. You can leverage multiple queue support in automatic record creation (ARC) for creating cases from emails.  

Example scenario 

Let’s say a customer sends an email to customer support about their device not working properly. As soon as this email is received, Case Management Agent creates a case with the relevant details from the customer’s email. The AI agent answers the email to request further details to solve the issue. The customer sends an email answering AI agent’s questions.  

In a pre-CMA world, the customer service rep would have to input these details in the case manually. Not anymore! CMA updates the configured case or related entity fields automatically using this new email from the customer. Everything is kept in one place, so the next agent who helps the customer has the full story—no confusion, no delays. 

Learn more 

Watch a quick video introduction. 

To learn more, read the documentation:  

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