One of the small but frustrating limitations in Microsoft Dynamics 365 is how subgrids handle record creation. If you’ve worked with Opportunities, Quotes, Orders, or any parent–child setup, you’ve probably experienced this: You need to add multiple related records. The system allows you to add them one at a time. Click New. Save. Repeat. It works, but it’s slow, repetitive, and not how users naturally think. Over time, that friction adds up. The Real Problem In our case, an Australia-based linen and garments company, was using Dynamics 365 to manage sales opportunities for hospitality and healthcare clients. Their sales team regularly needed to add multiple products — such as linen packages, garment services, and rental items, to a single Opportunity. These products were organized by categories like: A typical deal didn’t include just one item. It often included five, ten, or more products across different categories. However, the out-of-the-box sub grid experience required them to: There was nothing technically broken. But from a usability perspective, it wasn’t efficient — especially for a fast-moving sales team handling multiple client proposals daily. What they really wanted was simple: Select products by category → Choose multiple items → Add them in one go → Move on. That capability simply wasn’t available within the standard sub grid behavior. Approach Instead of forcing users to follow the repetitive process, we extended the form with a custom solution. We built a lightweight HTML-based interface embedded inside the form. This interface: Once the user confirms their selection, the chosen records are sent to a custom server-side process. From the user’s perspective, the experience becomes: Open selector → Choose multiple items → Click once → All records created. Simple. Fast. Intuitive. What Happens Behind the Scenes While the interface feels straightforward, the actual processing is handled securely on the server. When users submit their selection: This ensures the solution is: The business logic remains centralized and controlled, not exposed on the client side.file. Why This Matters The improvement may seem small at first. But consider users who perform this task daily. Reducing repetitive actions saves time, lowers frustration, and improves overall efficiency. More importantly, it makes the system feel aligned with how users actually work. Instead of adapting their workflow to system limitations, the system adapts to their workflow. That’s where meaningful customization adds value. The Outcome By combining: We created a smooth bulk record creation experience within Dynamics 365. The platform remains intact. The business logic remains secure, and the user experience becomes significantly better. And sometimes, that’s exactly what good system design is about, not rebuilding everything but removing friction where it matters most. We hope you found this article useful. If you would like to explore how AI-powered customer service can improve your support operations, please contact the CloudFronts team at transform@cloudfronts.com.

Summary Customer service teams today must handle increasing support volumes while maintaining fast response times and high customer satisfaction. Traditional service models relying on emails, spreadsheets, and manual processes often struggle to scale efficiently. In this article, we explore how organizations can transform customer service operations using Dynamics 365 Customer Service, Power Platform, and Azure OpenAI to automate workflows, generate intelligent responses, and improve service efficiency. Table of Contents 1. Watch the Webinar 2. The Challenge: Scaling Customer Support 3. Operationalizing Customer Service with Dynamics 365 4. How AI is Transforming Customer Service 5. Key Benefits for Organizations FAQs Watch the Webinar In a recent CloudFronts webinar, Vidit Golam, Solution Architect at CloudFronts, demonstrated how organizations can operationalize customer service workflows using Dynamics 365 and enhance them with AI-powered responses. The session covers real-world service automation scenarios, intelligent case management, and how AI can assist support teams with contextual response generation. Watch the full webinar here: 👉 The Challenge: Scaling Customer Support Many organizations begin managing customer service through email inboxes or simple ticket tracking systems. While this approach may work initially, it becomes difficult to manage as the number of customer interactions grows. Common challenges include: 1. Customer emails being missed or delayed 2. No centralized system to track service requests 3. Lack of visibility into response times and SLAs 4. Inconsistent responses across support teams As customer expectations increase, businesses require more structured and scalable service management systems. Operationalizing Customer Service with Dynamics 365 Dynamics 365 Customer Service helps organizations bring structure, automation, and visibility to service operations. The platform enables organizations to manage cases, track service performance, and automate routine service tasks. Key capabilities include: 1. Automatic case creation from customer emails 2. Queue-based case management 3. Service Level Agreement (SLA) tracking 4. Automated case assignment 5. Real-time service dashboards 6. Customer self-service portals Instead of manually tracking service requests, inquiries are automatically converted into cases, ensuring every issue is logged, assigned, and resolved systematically. How AI is Transforming Customer Service The integration of Azure OpenAI with Dynamics 365 enables organizations to move beyond basic service management and adopt intelligent automation. AI-powered capabilities can assist support teams by: 1. Generating contextual responses for customer queries 2. Summarizing case details for faster resolution 3. Suggesting knowledge base articles 4. Automating repetitive service tasks 5. Improving response quality and consistency These capabilities help support teams handle more requests efficiently while improving the overall customer experience. Key Benefits for Organizations 1. Faster response times for customer inquiries 2. Reduced manual effort for support teams 3. Improved consistency in customer communication 4. Better visibility into service performance 5. Scalable support operations without increasing headcount FAQs Q1: Can Dynamics 365 automatically create cases from emails? Yes. Dynamics 365 Customer Service can automatically convert incoming emails into cases and route them to appropriate service queues. Q2: How does AI help customer service agents? AI can generate response suggestions, summarize case details, and recommend knowledge base articles to help agents respond faster. Q3: Can this solution integrate with existing systems? Yes. Dynamics 365 integrates with Microsoft Power Platform, Azure services, and many third-party applications. We hope you found this article useful. If you would like to explore how AI-powered customer service can improve your support operations, please contact the CloudFronts team at transform@cloudfronts.com.

Why Incremental Loads Matter When integrating data from external systems, whether it’s a CRM, an ERP like Business Central, or an HR platform like Zoho People, pulling all data every time is expensive, slow, and unnecessary. The smarter approach is to track what has changed since the last successful run and fetch only that delta. This is the core idea behind an incremental data pipeline: identify a timestamp or sequence field in your source system, persist the last-known watermark, and use it as a filter on your next API call. Azure Logic Apps, paired with Azure Table Storage as a lightweight checkpoint store, gives you everything you need to implement this pattern without managing any infrastructure. Architecture Overview Instead of one large workflow doing everything, we separate responsibilities. One Logic App handles scheduling and orchestration. Another handles actual data extraction. Core components: 3. Metadata Design (Azure Table) Instead of hardcoding entity names and fields inside Logic Apps, we define them in Azure Table Storage. Example structure: PartitionKey RowKey IncrementalField displayName entity businesscentral 1 systemCreatedAt Vendor Ledger Entry vendorLedgerEntries zohopeople 1 modifiedtime Leave leave Briefly, this table answers three questions: – What entity should be extracted?– Which column defines incremental logic?– What was the last successful checkpoint? When you want to onboard a new entity, you add a row. No redesign needed. 4. Logic App 1 – Scheduler Trigger: Recurrence (for example, every 15 minutes) Steps: This Logic App should not call APIs directly. Its only job is orchestration. Keep it light. 5. Logic App 2 – Incremental Processor Trigger: HTTP (called from Logic App 1) Functional steps: Example: This is where the real work happens. 6. Checkpoint Strategy Each entity must maintain: – LastSuccessfulRunTime– Status– LastRecordTimestamp After successful extraction: Checkpoint = max(modifiedOn) from extracted data. This ensures: Checkpoint management is the backbone of incremental loading. If this fails, everything fails. This pattern gives you a production-grade incremental data pipeline entirely within Azure’s managed services. By centralizing entity configuration and watermarks in Azure Table Storage, you create a data-driven pipeline where adding a new integration is as simple as inserting a row — no code deployment required. The two-Logic-App architecture cleanly separates orchestration from execution, enables parallel processing, and ensures your pipeline is resilient to failures through checkpoint-based watermark management. Whether you’re pulling from Business Central, Zoho People, or any REST API that exposes a timestamp field, this architecture scales gracefully with your data needs. Explore the case study below to learn how Logic Apps were implemented to solve key business challenges: Ready to deploy AIS to seamlessly connect systems and improve operational cost and efficiency? Get in touch with CloudFronts at transform@cloudfronts.com.

Summary In most CRM implementations, data exposure should be encapsulated for both inside & outside the organization. Sales, Finance, Operations, HR, everyone works in the same system. Collaboration increases. Visibility increases. But so does risk. This is based on real-world project experience, for a practical example I had implemented for a technology consulting and cybersecurity services firm based in Houston, Texas, USA, specializing in modern digital transformation and enterprise security solutions. This blog explains: 1] Why Security Roles alone are not enough. 2] How users can still access data through Advanced Find, etc. 3] What Field-Level Security offers beyond entity-level restriction. 4] Step-by-step implementation. 5] Business advantages you gain. Table of Contents The Real Problem: Intra-Organizational Data Exposure Implementation of Field-Level Security Results Why Was a Solution Required? Business Impact The Real Problem: Intra-Organizational Data Exposure Let’s take a practical cross-department scenario. Both X Department and Y Department work in the same CRM system built on Microsoft Dynamics 365. Entities Involved 1] Entity 1 2] Entity 2 Working Model X Department Fully owns and manages Entity 1 Occasionally needs to refer to specific information in Entity 2 Y Department Fully owns and manages Entity 2 Occasionally needs to refer to specific information in Entity 1 This is collaborative work. You cannot isolate departments completely. But here’s the challenge: Each entity contains sensitive fields that should not be editable — or sometimes not even visible — to the other department. Security Roles in Microsoft Dynamics 365 operate at the entity (table) level, not at the field (column) level. Approach Result Remove Write access to Entity 2 for X Dept X Dept cannot update anything in Entity 2 — even non-sensitive fields Remove Read access to sensitive fields in Entity 2 Not possible at field level using Security Roles Restrict Entity 2 entirely from X Dept X Dept loses visibility — collaboration breaks Hide fields from the form only Data still accessible via Advanced Find or exports This is the core limitation. Security Roles answer: “Can the user access this record?” They do NOT answer: “Which specific data inside this record can the user access?” Implementation of Field-Level Security Step 1: Go to your Solution & Identify Sensitive Fields, usually Personal info, facts & figures, etc. e.g. cf_proficiencyrating. Step 2: Select the field and “Enable” it for Field Level Security (This is not possible for MS Out of the Box fields) Step 3: Go to Settings and then select “Security” Step 4: Go to Settings and then select “Security” -> “Field Security Profiles” Step 5: Either create or use existing Field Security Profile, as required Step 6: Within this one can see all the fields across Dataverse which are enabled for Field Security, Here the user should select their field and set create/read/update privileges (Yes/No). Step 7: Then select the system users, or the Team (having the stakeholder users), and save it. Results: Assume you are a user from X dept. who wants to access Entity 2 Record, and you need to see only the Proficiency Rating & Characteristic Name, but not Effective Date & Expiration Date; now since all fields have Field Level Security they would have a Key Icon on them, but the fields which do not have read/write access for you/your team, would have the Key Icon as well as a “—“. The same thing would happen in Views, subgrids, as well as if the user uses Advanced Find. Why this Solution was Required? The organization needed: 1] Cross-functional collaboration 2] Protection of confidential internal data 3] Clear separation of duties 4] No disruption to operational workflows They required a solution that: 1] Did not block entity access 2] Did not require custom development 3] Enforced true data-level protection Business Impact 1. Confidential Data Protection Sensitive internal data was secured without restricting overall entity access, enabling controlled collaboration. 2. Reduced Internal Data Exposure Risk Unauthorized users could no longer retrieve protected fields via Advanced Find, significantly lowering governance risk. 3. Clear Separation of Duties Departmental ownership of sensitive fields was enforced without disrupting cross-functional visibility. 4. Improved Audit Readiness Every modification to protected fields became traceable, strengthening accountability and compliance posture. 5. Reduced Operational Friction System-enforced field restrictions eliminated the need for entity blocking, duplicate records, and manual approval workarounds. 6. Efficiency Gains The solution was delivered through configuration — no custom code, no complex business rules, and minimal maintenance overhead. I Hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudFronts.com.

Quick Preview Importing customer data into Dynamics 365 can be simple and efficient. Whether you’re transitioning from another system or adding a large batch of new customers, Microsoft Excel Online offers a practical way to create multiple records at once—without any technical configuration. In this blog, I’ll walk you through a clear, step-by-step approach to importing customer (or any entity) records directly into your Dynamics 365 environment using Excel Online. By the end, you’ll be able to upload bulk data quickly while maintaining accuracy and data consistency. Let’s get started and see how you can seamlessly import multiple customer records into Dynamics 365 using Excel Online. Step 1: Go to the entity’s home page who’s records you want to create (In my case it is customer entity).   Step 2: On the active accounts view (or any view) click on edit columns and add the columns as per the data you want to be fill in. (Don’t forget to hit apply button at the bottom)  Step 2 : Once your view is ready click on Export to Excel Button on the top left and select Open in excel online.  Step 3: If you are using a system view like in this example you will see existing records on the online excel, you can clear those records or keep them as is. If you change any existing record, it will update the data of that record so you can also use this to update existing records at once (I will write a separate blog post for updating records for now let’s focus on creating records)  Step 4: You can then add the data which you want to create to the online excel sheet, in this example I am transferring data from a local excel sheet to the online excel.  Step 5: Once you have added your data on the online excel, hit apply button.  Step 6: You will get a Popup about your data being submitted for import, hit Track Progress.  Step 7: You will see your data has been submitted and is parsing. (It will take couple of minutes to hours depending upon the amount of data you have submitted keep refreshing to see the progress of the records).  Step 8: Once the import job is completed you will see how many records were created successfully and how many failed or partially failed. You can open the import job and check failed entries, correct the entries and re-import   Failed records  All the successfully parsed records will be created in your system.  Importing customer records in Dynamics 365 becomes incredibly seamless with Excel Online. With just a few steps-preparing your view, exporting to Excel, adding your data, and submitting the import-you can create hundreds or even thousands of records in a fraction of the time. This approach not only speeds up data entry but also ensures consistency and reduces manual errors. Hope this helps! 😊  I Hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudFronts.com.

Email remains a vital communication tool in Dynamics 365 Finance & Operations, powering workflows like invoice delivery, notifications, and approvals. To ensure secure and reliable email transmission, organizations configure SMTP directly within F&O. This guide walks through the streamlined steps to configure SMTP in F&O so your system can send emails seamlessly. Steps to Achieve goal 2. Go to SMTP settings and enter below valuesEnter SMTP Server Details Enable SSL/TLS if required. Server: e.g., smtp.office365.com Port: usually 587 (TLS) 3. Define Sender Address Ensure each user has a valid email address in User options → Email. To conclude, configuring SMTP in Dynamics 365 F&O is a straightforward process that unlocks secure and efficient email communication across your business processes. By entering the correct server details, authentication method, and sender information, you enable F&O to deliver messages reliably without manual intervention. With SMTP in place, Finance & Operations becomes not just a system of record, but a system of communication. We hope you found this article useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com

In Microsoft Dynamics 365 CRM, every Case (Incident) record comes with a default Ticket Number. Microsoft generates it automatically, and while that’s fine for basic tracking, it usually doesn’t survive first contact with real business requirements. Users want meaningful Case IDs—something that actually tells them what kind of case this is, what service it belongs to, and where it came from. Unfortunately, since Ticket Number (ticketnumber) is a Microsoft-managed field, you can’t just slap a custom format on it using configuration alone. That’s exactly where a Pre-Operation plugin comes in. This blog walks through a real production use case where we customize the default Case ID format without breaking Microsoft’s auto-numbering, and without creating race conditions or duplicate numbers. Use Case Table: Case (Incident) Field: Ticket Number (ticketnumber) Requirement: Execution: Why Pre-Operation Microsoft generates the Ticket Number before the Create operation completes. In Pre-Operation, we can: This gives us: The Custom Ticket Number Format The final Case ID looks like this: Example: Plugin Logic Overview Here’s what the plugin does, step by step: The Plugin Code Plugin Registration Details Message: Create Primary Entity: Case (incident) Stage: Pre-Operation Mode: Synchronous Filtering Attributes: Not required. To conclude, customizing a Microsoft-managed field like Ticket Number often sounds risky, but as you’ve seen, it doesn’t have to be. By letting Dynamics 365 generate the number first and then reshaping it in a pre-Operation plugin, you get the best of both worlds. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com

Summary For growing businesses, service request management becomes crucial as volume and complexity increase. Email-driven support and Excel trackers often fail to scale effectively. A structured Service Request Management System (SRMS) centralizes tracking, automates processes, and enforces SLAs. Microsoft Dynamics 365 Customer Service enables operational, accountable support management. Implementing the right system ensures efficiency, transparency, and customer satisfaction as businesses grow. Table of Contents 1. Key Components of an SRMS 2. Setting Up Service Request Management 3. Operationalizing with Dynamics 365 4. Customer Success Story Key Components of a Service Request Management System For growing businesses, as much as their processes, reports, and efficient systems are important, service request management becomes equally crucial. As companies scale, the volume and complexity of service requests increase, making efficient management essential to maintaining operational flow and customer satisfaction. A well-designed Service Request Management System (SRMS) helps align workflows, reduce response times, and enhance service delivery. Centralized Request Tracking: A centralized service request management system (SRMS) allows businesses to log, track, and manage all service requests in one place. Unified Dashboard: A centralized dashboard provides a comprehensive view of all service requests, their statuses, and assigned personnel. Prioritization and Categorization: Service requests can be categorized and prioritized based on urgency, impact, and type. Automatic Case Creation and Update Rule: Automation features such as automatic ticket creation, escalation rules, and status updates help reduce manual effort. Service Level Agreements (SLAs): SLAs define expected response and resolution times and ensure deadlines are met. Automated Assignment: Service requests are automatically assigned based on expertise, workload, and availability. Real-Time Updates: Service agents update request statuses in real time, providing accurate information to stakeholders. Customer Self-Service Portal: Customers can submit and track service requests independently. Setting Up Service Request Management for a Growing Business Support Email Address: Customers send queries to support@companydomain.com. Automatic Case Creation: Requests sent to the support email are automatically converted into cases. Case Assignment: Once a case is created, it is assigned to a support team member. Acknowledgment Emails: A confirmation email is sent to the customer. Team Notification: The assigned team member receives a notification. Progress Updates: Team members add notes and updates to the ticket. Real-Time Updates: Updates are sent to the customer via email in real time. Defaulter Report: A defaulter report is generated internally to manage SLA breaches. Case Closure Notifications: Notifications are sent to customers upon cancellation or resolution. Email Tracking: All communication via email is automatically tracked by the system. Service Request Management Portal: A portal can be provided to selected customers for managing service requests. Operationalizing Customer Service with Dynamics 365 If your customer support still lives in shared inboxes and Excel trackers, you’re not alone. As volumes increase, this setup quickly turns into missed SLAs, inconsistent updates, and frustrated customers. Automatic case creation from support emails, portals, or web forms Queue-based assignment End-to-end tracking of customer interactions Business Process Flows (Identify → Research → Resolve) SLA-driven reminders and alerts One-click email responses from the case record Self-service portal support Watch the Full Webinar Demo To see how Dynamics 365 Customer Service operationalizes service management in real time, watch the complete webinar session below: Frequently Asked Questions Why does email-only support fail at scale? It lacks centralized tracking, SLA enforcement, ownership clarity, and structured workflows. What is the main benefit of an SRMS? Centralized visibility, automation, and accountability. Can customers continue using email? Yes. Emails are automatically converted into tracked cases internally. Customer Success Story Having a solid service request management system (SRMS) is a game-changer for any growing business. By centralizing service requests, automating processes, and setting clear expectations with SLAs, businesses can maintain efficiency and customer satisfaction as they grow. Here is our featured Customer Success Story: Revolution Cooking partnered with CloudFronts for Dynamics 365 enhancements and data integration with third-party applications.

Dynamics 365 CRM plugins are a powerful way to enforce business logic on the server but choosing when and how to use them is just as important as writing the code itself. In one implementation for a Netherlands-based sustainability certification organization, the client needed their certification journey to begin with a custom application entity while still ensuring that applicant and company details were captured as leads for downstream sales and engagement processes. This blog explores how a server-side plugin was used to bridge that gap, reliably creating and associating lead records at runtime while keeping the solution independent of UI behavior and future integrations. In this scenario, the certification application was the starting point of the business process, but sales and engagement still needed to operate on leads. Simply storing the same information in one place wasn’t enough, the system needed a reliable way to translate an application into a lead at the right moment, every time. That transformation logic is neither data storage nor UI behavior; its core business process logic, which is why it was implemented using a Dynamics 365 plugin. Scenario: Certification Application Not Flowing into Sales Users reported the following challenge: a. A user submits or creates a Certification Applicationb. Applicant and company details are captured on a custom entityc. Sales teams expect a Lead to be created for follow-upd. No Lead exists unless created manually or through inconsistent automatione. Application and sales data become disconnected This breaks the intended business flow, as certification teams and sales teams end up working in parallel systems without a reliable link between applications and leads. Possible Solution: Handling Lead Creation Through Manual Processes (Original Approach) Before implementing the plugin, the organization attempted to manage lead creation manually or through disconnected automation. How It Worked (Initially) a. A Certification Application was submittedb. Users reviewed the applicationc. Sales team manually created a Lead with applicant/company detailsd. They tried to match accounts/contacts manuallye. Both records remained loosely connected. Why This Might Look Reasonable a. Simple to explain operationallyb. No development effortc. Works as long as users follow the steps perfectly The Hidden Problems 1] Inconsistent Data Entry a. Users forgot to create leadsb. Leads were created with missing fieldsc. Duplicate accounts/contacts were createdd. Sales lost visibility into new certification inquiries 2] Broken Cross-Department Workflow a. Certification team worked in the custom entityb. Sales team worked in Leadsc. No structural linkage existed between the twod. Downstream reporting (pipeline, conversion, source tracking) became unreliable. Workaround to This Approach: Use Server-Side Logic Instead of Manual Steps Practically, the transformation of an application into a lead is business logic, not user behavior. Once that boundary is respected, the solution becomes stable, predictable, and automation-friendly. Practical Solution: A Server-Side Plugin (Improved Approach) Instead of depending on people or scattered automation, the lead is created centrally and automatically through a plugin registered on the Certification Application entity. Why a Plugin? a. Executes consistently regardless of data sourceb. Not tied to form events or UI interactionsc. Can safely check for existing accounts/contactsd. Ensures one source of truth for lead and application linkagee. Works for portal submissions, integrations, and bulk imports This is essential for a client, where applications may originate from multiple channels and must feed accurately into the sales funnel. How the Plugin-Based Solution Works The solution was implemented using a server-side plugin registered on the Certification Application entity. The plugin executes when a new application is created, retrieves the necessary applicant and organization details, performs basic checks for existing accounts and contacts, creates a Lead using the extracted data, and finally links the Lead back to the originating application record. This ensures that every certification application automatically enters the sales pipeline in a consistent and reliable manner. Implementation Steps (For Developers New to Plugins) If you’re new to Dynamics 365 plugins, the implementation followed these core steps: Build and Register the Plugin. Once the plugin logic is implemented, build the project to generate the signed assembly. After a successful build: After registration, every new Certification Application will automatically trigger the plugin, ensuring that a Lead is created and linked without any manual intervention. a. Open the Plugin Registration Toolb. Connect to the target Dynamics 365 environmentc. Register the compiled assemblyd. Register the plugin step on the Create message of the Certification Application entitye. Configure the execution stage (typically post-operation) and execution mode (Synchronous or Asynchronous, depending on business needs) To encapsulate, this solution shows why server-side plugins are the right place for core business logic in Dynamics 365. By automatically creating and linking a Lead when a Certification Application is created, the organization removed manual steps, prevented data inconsistencies, and ensured that every application reliably flowed into the sales pipeline. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com

In an ideal Dynamics 365 (Dataverse) project, plugin source code lives safely in a version-controlled repository, flows cleanly through Azure DevOps pipelines, and is always recoverable. In reality, many of us inherit environments where that discipline didn’t exist. I recently worked with a customer where: This created a common but uncomfortable challenge in the Dynamics 365 world:How do you maintain, debug, or enhance plugins when the source code is lost? Rewriting everything from scratch was risky and time-consuming. Guessing behavior based on runtime results wasn’t reliable. Fortunately, Dynamics 365 and the .NET ecosystem give us a practical and effective alternative. Using XrmToolBox and JetBrains dotPeek, it is possible to recover readable C# plugin code directly from the deployed assembly. (Though the C# Class code recovered won’t be 100% exact, as the variable names would be different and generic; it is only suitable for close logic, structure & functional recovery) The Practical Solution The approach consists of two main steps: This does not magically restore comments or original formatting, but it does give a working, understandable code that closely reflects the original plugin logic. Tools Used Step 1: Extract the Plugin Assembly from Dataverse 1. Connect to the Environment 2. Load the Assembly Recovery Tool 3. Download the DLL At this point, you have successfully recovered the compiled plugin assembly exactly as it exists in the environment. Step 2: Decompile the DLL Using JetBrains dotPeek 1. Open dotPeek 2. Explore the Decompiled Code dotPeek will: One can now browse through: This is usually more than enough to understand how the plugin works. 3. Export to a Visual Studio Project (Optional but Recommended) One of dotPeek’s most powerful features is Export to Project: This gives you a proper .csproj with class files that you can open, build, and extend. Possibilities with the Recovered Code Once you have the decompiled C# code, several options open up: 1. Rebuild the Plugin Assembly 2. Re-register the Plugin 3. Maintain or Enhance Functionality Important Considerations Key Takeaway Losing plugin source code does not mean losing control of your Dynamics 365 solution. With XrmToolBox’s Assembly Recovery Tool and JetBrains dotPeek, you can: There are chances while working in Dynamics 365 technologies, that a developer might face this situation. Knowing this technique can save days-or weeks-of effort and give your customer confidence that their system remains fully supportable. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com