Summary Manually creating custom fields in Dynamics 365 Project Operations across multiple environments is time-consuming, error-prone, and blocks automation. This challenge can be addressed by using Dataverse Metadata OData APIs to programmatically create, update, and publish custom attributes during deployment. The process involves authenticating with Azure AD, calling Metadata API endpoints to create attributes, and publishing the changes with the PublishXml action, all through a fully automated approach. As a result, organizations achieve zero manual intervention, environment consistency, integrations, reduced human error, and a reusable framework that can be applied across all field types. Table of Contents Introduction Business Challenge Why OData Metadata APIs? Implementation Procedure End-to-End Working Why This Approach Works Real-World Use Cases Conclusion Introduction When integrating external business applications with Microsoft Dynamics 365 Project Operations, it is common to discover that every customer requires additional fields to store information originating from ERP systems, manufacturing platforms, pricing engines, or product lifecycle management systems. For one of our internal projects & Prospect PoC implementing product-centric integrations, we needed a way to provision these custom fields automatically during deployment. Traditionally, creating new columns involves opening the Power Apps Maker Portal, adding fields manually, publishing the table, exporting a solution, and repeating the same process across multiple environments. While this approach works for occasional changes, it quickly becomes a bottleneck for automated deployments and CI/CD pipelines. The Solution: CloudFronts implemented a fully automated approach using the Dataverse Metadata OData APIs, enabling integration deployments to create and publish new Project Operations attributes programmatically. Business Challenge The customer’s integration platform exchanged large volumes of product and financial information with Dynamics 365 Project Operations. Each deployment required several custom attributes such as: Product identifiers ERP reference numbers Financial synchronization IDs External integration keys Processing status fields Creating these fields manually across Development, Test, UAT, and Production introduced several challenges: Manual configuration effort (time-intensive) Human errors (typos, misconfigurations) Environment inconsistencies (field variations across environments) Longer deployment windows Difficult CI/CD automation The Objective: Allow the deployment process itself to provision any missing attributes before importing data, eliminating manual touchpoints entirely. Why OData Metadata APIs? Most developers use the Dataverse Web API for CRUD operations on business records. However, Dataverse also exposes Metadata APIs, allowing developers to programmatically manage the schema itself—including tables, columns, relationships, and option sets. Microsoft documents creating attribute metadata by posting to the Attributes navigation property of an entity definition. This means integrations can: Create new columns dynamically Update existing metadata Publish customizations instantly Eliminate manual portal work Scale across multiple environments consistently Unlike traditional manual solutions, the Metadata API approach is fully programmable, auditable, and repeatable. Implementation Procedure Step 1 – Authenticate with Dataverse The integration first authenticates against Azure Active Directory using an application registration and retrieves an OAuth Bearer Token. That token is then supplied with every Metadata API request. Authentication Flow: Register application in Azure AD Configure permissions for Dataverse access Obtain OAuth 2.0 Bearer Token Include token in Authorization header for all API calls Step 2 – Creating a Custom Attribute The Dataverse Metadata API exposes the following endpoint for creating new attributes: POST /api/data/v9.2/EntityDefinitions(LogicalName=’msdyn_contractlineinvoiceschedule’)/Attributes Instead of creating business records, this endpoint creates metadata at the schema level. For this implementation, we created a new string attribute with the following properties: Schema Name: int_fnoid Display Name: FNO ID Data Type: String Maximum Length: 100 The request body uses the Microsoft.Dynamics.CRM.StringAttributeMetadata type together with standard metadata properties such as SchemaName, DisplayName, RequiredLevel, and MaxLength. Supported Metadata Types: Microsoft supports multiple metadata types through the same endpoint including String, Decimal, Boolean, Picklist, DateTime, Lookup, Currency, and more. Step 3 – Publishing the Metadata Creating an attribute does not immediately make it available. Like changes made through the Power Apps Maker Portal, metadata created through the Web API must also be published. This is accomplished using the PublishXml action. POST /api/data/v9.2/PublishXml The request specifies the entity to publish. After publishing completes successfully, the new attribute immediately becomes available throughout Dynamics 365. End-to-End Working The complete deployment process follows these steps: Integration authenticates with Azure AD. Dataverse access token is generated. Metadata API checks whether the required attribute exists. Missing attributes are created automatically. PublishXml is executed. New attributes become available. Product synchronization begins. External systems start populating the new fields immediately. Integration Points: This Attribute creation setup can be utilized across Logic Apps, Plugins, Azure Functions, and other Custom Workflows. Why This Approach Works ✓ Fully Automated Deployments No manual intervention is required when new integration fields are introduced. ✓ Environment Consistency Development, Test, UAT, and Production remain synchronized because every environment provisions the same metadata through code. ✓ CI/CD Friendly Metadata creation can be incorporated directly into Azure DevOps or GitHub deployment pipelines. ✓ Reusable Framework The same framework can create String, Decimal, Currency, Lookup, Date, Option Sets, and Boolean fields. ✓ Reduced Human Error Eliminates mistakes caused by manual customization and inconsistent naming conventions. ✓ Prevented Duplication Eliminates duplication of records, preventing system garbage in the database. Real-World Use Cases Use Case 1: PO-FO Integration (Project Operations to Finance Operations) For enterprises running integrated Project Operations and Finance Operations modules, this approach ensures that: ERP reference numbers sync automatically across all linked tables Financial synchronization IDs are created before data import External integration keys propagate consistently Processing status tracking fields exist in all dependent entities No manual re-entry of attribute definitions across environments Impact: Reduces deployment time from hours to minutes, eliminates sync mismatches between PO and FO modules, and enables real-time data reconciliation. Use Case 2: Airline Operations (India-Based Prospect) For a prospect airline operations company deploying Dynamics 365 Project Operations in India, automated field creation enables: Aircraft Maintenance Tracking: Automatically create fields for maintenance schedule IDs, component serial numbers, and service interval tracking Crew Scheduling Attributes: Provision rest hour calculations, duty time limits, and regulatory compliance fields Compliance & Audit Fields: Add DGCA (Directorate General of Civil Aviation) compliance check fields and audit trail columns Multi-Environment Consistency: Ensure DEV, TEST, UAT, and PROD have identical schema … Continue reading Automating Attribute creation in D365 Project Operations, Using Dataverse OData Metadata APIs for an India-Based Airline Operator’s Internal Project Operations–Finance & Operations Integration →

Blogger CloudFrontsbloggerEdit Profile Summary Expense management processes in enterprise project environments often require strict documentation controls to ensure financial accuracy and compliance. One common requirement is the mandatory attachment of receipts when submitting expense entries, especially for specific expense categories such as airfare, accommodation, or high-value reimbursements. My blog describes how a project-driven organization streamlined its expense submission workflow using Canvas Apps integrated with Dynamics 365 Project Operations. The solution I had implemented automates the validation and submission process for expense entries while ensuring that receipt files are attached before submission. By combining form validation logic in the Canvas App with backend automation using Power Automate, the organization eliminated the manual process of attaching receipts and creating notes in the system. The result was a seamless, user-friendly expense submission experience that enforces compliance while significantly improving operational efficiency. Table of Contents 1. Customer Scenario 2. Solution Overview 3. Understanding the Expense Data Structure 4. Canvas App Validation Logic 5. Expense Creation and Submission Process 6. Automating Receipt Handling with Power Automate 7. Enforcing Mandatory Receipts for Specific Categories 8. Business Impact 9. Solution Walkthrough 10. Final Thoughts 1. Customer Scenario A Texas based Cyber Security organization managing multiple client engagements relied on Dynamics 365 Project Operations to track project expenses incurred by consultants and field staff. While the system allowed users to create draft expense entries, the process of submitting those expenses required additional manual steps. To submit an expense, users had to: Create the expense entry in draft mode. Upload the supporting receipt manually. Navigate to the expense record. Create an associated Expense Receipt record. Attach the receipt file under Notes (Annotations). Convert the file into the required document format stored in the system. Update the expense status to Submitted. This workflow introduced several challenges: Users frequently forgot to attach receipts. Manual creation of Notes records was error-prone. Finance teams had to follow up for missing documentation. Expense approvals were delayed due to incomplete submissions. Employees found the process unnecessarily complex. The organization needed a simpler, controlled way to ensure receipts were always attached when expenses were submitted, without requiring users to understand the underlying system structure. 2. Solution Overview To address these challenges, a custom expense submission experience was built using Canvas Apps integrated working in conjunction with D365 Project Operations. The solution introduced a dynamic expense entry submission interface where users can: Create expense entries Upload receipt files Submit expenses directly from the app Figure: Canvas App interface enabling dynamic expense entry submission with receipt attachment. Figure: Canvas App interface enabling dynamic expense entry submission with receipt attachment. Behind the scenes, the application automatically: Creates the expense entry in Dataverse Generates the related Expense Receipt record Uploads the receipt file to Notes (Annotations) as a document Updates the expense status to Submitted Figure: A Submitted Expense Entry Record. Figure: The Expense Receipt Record + Receipt PDF Annotation associated with the Expense, without which Submission won’t have been possible. This automation completely overrides the manual procedure of attaching receipts and creating notes, ensuring the process is both compliant and seamless for users. 3. Understanding the Expense Data Structure Within Dynamics 365 Project Operations, expense documentation follows a structured relationship model. The hierarchy looks like this: Expense ↓ Expense Receipt ↓ Notes (Annotation) ↓ Blob/Base64 File Storage of Expense Receipt. Figure: Implementation of the Expense Entry -> Expense Receipt -> Annotation -> Receipt File Workflow. In this structure: The Expense record stores the financial transaction. The Expense Receipt record acts as a container for receipt documentation. The Notes (Annotation) entity stores the actual file. The receipt file is stored as Base64 binary data (blob). While this structure is technically sound, it requires multiple manual steps when performed directly by users. The custom Canvas App abstracts this complexity and handles it automatically. 4. Canvas App Validation Logic To ensure all required data is captured before submission, the Canvas App includes dynamic validation logic. The application checks whether essential fields are populated before allowing the expense to be saved or submitted. These validations include fields such as: Transaction Date Project Expense Category Reimbursable Indicator External Comments Unit Quantity Unit Price If any required field is missing, the user receives an immediate notification explaining what needs to be completed. Example logic used in the application: If( Or( IsBlank(DatePicker2_5.SelectedDate), IsBlank(Project_Combobox_5.Selected), IsBlank(ExpenseCategory_Combobox.Selected), IsBlank(Dropdown1.Selected.Value), IsBlank(External_Input_7.Text), IsBlank(Project_Combobox_6.Selected), IsBlank(NumberInput2.Value), IsBlank(NumberInput2_1.Value) ), Notify(“Required fields are missing.”, NotificationType.Error) ) This validation ensures data completeness before the expense record is created. 5. Expense Creation and Submission Process Once validation passes, the Canvas App uses a Dataverse Patch operation to create or update the expense record. The logic dynamically calculates financial values such as the subtotal based on quantity and unit price. Example logic: Set( varSavedExpense, Patch( Expenses, Defaults(Expenses), { ‘Transaction Date’: DatePicker.SelectedDate, Project: Project_Combobox.Selected, ‘Expense Category’: ExpenseCategory_Combobox.Selected, Quantity: Value(NumberInputQuantity.Value), ‘Unit Price’: Value(NumberInputPrice.Value), Subtotal: Value(NumberInputQuantity.Value) * Value(NumberInputPrice.Value) } ) ); ‘SubmitExpense(CanvasApp)’.Run( varSavedExpense.Expense, First(fileupload.Attachments).Name, First(fileupload.Attachments).Value ); Notify( “Expense submitted successfully.”, NotificationType.Success ) This creates the draft expense entry in the system. 6. Automating Receipt Handling with Power Automate After the expense entry is saved, the Canvas App triggers a Power Automate flow. The flow receives: Expense record ID File name Receipt file content The flow then performs the following steps automatically. Step 1: Create Expense Receipt Record A new Expense Receipt record is created and linked to the expense entry. Step 2: Upload Receipt as Note The receipt file is stored as a Note (Annotation) associated with the expense receipt. This note contains: File Name Document Type Base64 encoded file content MIME type Step 3: Update Expense Status Finally, the expense record status is updated from Draft to Submitted. This ensures the expense becomes available for approval workflows and financial processing. 7. Enforcing Mandatory Receipts for Specific Categories An important requirement D365 PO is ensuring that certain expense categories cannot be submitted without receipts. Examples include: Airline tickets Travel expenses Accommodation High-value reimbursements The Canvas App logic ensures that a receipt file must be attached before submission is triggered. If the … Continue reading Dynamic Expense Entry Submission with Receipt Attachments in Power Apps: A Practical Implementation for a Texas-Based Operational Technology Security Organization →

Summary Designed and deployed a mobile-first Power Apps Canvas App for a Texas-based industrial cybersecurity firm specializing in operational technology (OT) security for oil and gas infrastructure. Unified time tracking, expense management, material consumption logging, and approvals into a single experience integrated with Dynamics 365 Project Operations. Eliminated fragmented desktop-based workflows that delayed project reporting, approvals, and billing. Automated expense receipt processing through Power Automate, improving compliance and reducing manual effort. Implemented project-scoped approval routing to ensure submissions were reviewed only by authorized stakeholders. Enabled real-time project visibility through structured Dataverse-driven workflows and lifecycle tracking. Provided mobile approvals and submission monitoring, dramatically reducing turnaround times. Improved data accuracy, audit readiness, and billing efficiency across field operations. Table of Contents Introduction Requirement & Business Scenario Solution Implementation Implementation Gallery Outcome FAQs Conclusion 1. Introduction Field-driven organizations live and die by the accuracy and speed of their project data. For a company securing critical infrastructure like oil rigs, every hour an engineer spends fighting with a clunky time-entry screen is an hour not spent on the job site — and every delayed expense submission is a delay in client billing and financial reporting. This is the story of how a Texas-based cybersecurity firm moved away from a fragmented, desktop-oriented workflow inside Dynamics 365 Project Operations and adopted a unified, mobile-first Canvas App that brought time tracking, expense submission, and material logging into one place, with built-in compliance controls and project-specific approval routing. The Goal: Build a unified mobile-first experience that allows field engineers to submit time, expenses, and materials from anywhere while ensuring compliance, controlled approvals, and real-time project visibility. 2. Requirement & Business Scenario The firm manages multiple concurrent field engagements using Dynamics 365 Project Operations as its system of record. Consultants and field engineers were expected to log three categories of activity against active projects: Time entries for hours worked Expense entries covering travel, accommodation, airfare, and related costs Material usage logs for equipment, parts, and consumables The core issue was that the underlying system was built for desktop use, not for engineers working on-site at remote rig locations. This created several compounding problems: Field staff had no efficient way to submit entries from a mobile device, so submissions piled up until they were back at a desk. Time, expense, and material tracking lived in separate workflows, forcing users to context-switch between screens for what should have been a single daily task. Expense compliance was inconsistent — receipts were sometimes attached, sometimes forgotten, and the process for linking a receipt to an expense record involved several manual, error-prone steps behind the scenes. Approvals had no project-level boundaries, making it hard to guarantee that only the right project stakeholders could review and approve specific submissions. Project managers lacked real-time visibility into resource usage, which meant billing and client reporting cycles were consistently delayed. Left unaddressed, these gaps were directly affecting data accuracy, audit readiness, and the speed at which the business could invoice clients. 3. Solution CloudFronts designed a unified mobile experience using Power Apps Canvas Apps layered on top of Dynamics 365 Project Operations and Dataverse, built around one guiding principle: One App. All Submissions. Controlled Approvals. Real-Time Visibility. For field users, the app became the single place to submit time entries on a daily or weekly basis, create expense entries with automatic receipt handling, log material consumption against the correct project, and track the live status of every submission. For project approvers, the same app surfaced only the entries tied to projects they were actually responsible for, let them approve or reject submissions directly from their phone, and preserved a clean, audit-ready trail for every decision. Day Mode and Week Mode Users could switch between a detailed single-day entry view, useful for precise logging and corrections, and a bulk weekly view that sped up repetitive data entry — letting each person work the way that suited their role. Calendar-Based Swipe Navigation A Dynamics-style calendar with swipe gestures let users move quickly across days and weeks, reviewing or correcting historical entries without friction. Stage-Aware Interface Every record followed the same lifecycle — Submitted, Pending, Approved, Rejected, Recall Requested, Recall Approved, Recall Rejected — and the UI adapted to whatever stage a record was in. Action buttons such as Submit, Approve, Reject, and Recall only appeared when they were actually valid, significantly reducing user confusion and accidental actions. Conditional Receipt Enforcement Rather than requiring a receipt for every expense category, the app applied compliance rules selectively. Receipts were mandatory for airfare and OT hardware purchases, while remaining optional for lower-risk categories such as meals and local transportation. 4. Implementation The technical implementation centered on a unified Dataverse data model and a set of automations that removed manual work from both the field user and the back office. Unified Data Model Time, expense, and material entries were all structured in Dataverse and linked back to the relevant project, resource, approval record, and — for expenses — supporting documentation. Every submission created a record with a clearly defined lifecycle stage, ensuring all three entry types behaved consistently even though their underlying business logic differed. Validation Before Submission The Canvas App enforced field-level validation before allowing a record to be saved, checking that essentials such as transaction date, project, category, quantity, and cost information were populated. If( Or( IsBlank(DatePicker.SelectedDate), IsBlank(ProjectCombobox.Selected), IsBlank(CategoryCombobox.Selected), IsBlank(QuantityInput.Value), IsBlank(PriceInput.Value) ), Notify(“Required fields are missing.”, NotificationType.Error) ) Patch-Based Record Creation Once validation passed, the application used Dataverse Patch operations to create records and calculate derived values such as expense subtotals dynamically based on quantity and unit price. Automated Receipt Handling For expense submissions, the previously manual chain of creating an Expense Receipt record, attaching a file as a Note, converting it to the correct document format, and updating the status to Submitted was fully automated. The Canvas App passed the expense ID, file name, and file content to a Power Automate flow, which created the Expense Receipt record, stored the file as a Note (Annotation) with the correct MIME type, … Continue reading How an Industrial Cybersecurity Company in Texas Improved Field Time and Expense Tracking with Microsoft Power Apps and Dynamics 365 Project Operations →

Summary Automated end-to-end contract generation, digital signing, and document filing for an Australia-based commercial linen and garments company using Dynamics 365 Sales, Microsoft Power Automate, and Adobe Acrobat Sign. Eliminated manual contract preparation by generating personalized Word contracts directly from accepted Dynamics 365 Quotes using a reusable Word template. Leveraged Adobe Acrobat Sign text tags embedded within the Word template to automatically create signature, date, and fillable fields without manual field placement or custom development. Automated agreement creation, customer notifications, and real-time signing status tracking through Adobe Acrobat Sign, providing complete visibility throughout the contract lifecycle. Implemented a dedicated child Power Automate flow that automatically identified completed agreements from Adobe Sign emails and archived signed contracts into the correct SharePoint document library. Reduced contract turnaround from a manual, multi-step process to a one-click, fully automated workflow while ensuring audit-ready signed documents and eliminating manual document handling. Table of Contents Introduction Business Challenge Procedure End-to-End Flow Why This Approach Works Conclusion Introduction For any business that runs on contracts — service agreements, quotes-turned-orders, vendor sign-offs — the gap between "quote accepted" and "contract signed" is often where deals slow down. Manual document preparation, back-and-forth emails, chasing signatures, and manually filing signed copies all eat into time that should be spent serving the customer. For an Australia based Linen and Garments, a commercial textile services company, CloudFronts built an end-to-end automation that takes a sales quote all the way through to a fully signed, filed contract — with zero manual document handling in between. The solution combines a Word contract template, Microsoft Power Automate, and Adobe Acrobat Sign, orchestrated across two connected flows: a parent flow that creates and sends the contract, and a child flow that listens for the signed response and files it automatically. This post walks through how that solution works, including the one detail that makes the whole thing possible without any custom code: Adobe Sign text tags embedded directly inside the Word template. The Business Challenge Once a quote is accepted, the team needed the resulting contract to: Be generated automatically from the quote and its line items — no manual copy-pasting of customer details into a Word document. Be sent for signature immediately, with the right fields ready for the customer to fill in and sign — bank details, account information, and a signature block, all in the right place. Notify both the customer and the internal Adobe Sign account holder the moment it’s out for signing. Automatically file the final, fully signed PDF back into the correct SharePoint location tied to that quote — without anyone needing to remember to save it. Doing this by hand across multiple people and mailboxes was slow and error-prone. The goal was to make the entire journey — quote to signed, filed contract — happen in minutes, with no manual document work at any step. Procedure Step 1: Auto-Generating the Contract from the Quote The process starts with a single action: Create Contract. This triggers the parent Power Automate flow, which: Composes the Quote ID from the selected record. Retrieves the document location tied to that quote (the Word contract template). Pulls the Quote, the associated Customer, and the Contact record for the signer. Uses these to populate a Word template — the standard “Populate a Word Template” merge step — filling in customer name, contract terms, line items, and contact details automatically. This is the same idea used in most contract-automation flows: merge structured CRM/quote data into a pre-built Word template, so the resulting document is fully personalized without a single manual edit. Step 2: Making the Contract Signable — Text Tags in the Template This is the step that makes the entire signing experience work, and it's worth explaining properly, because it's easy to get wrong. A merged Word document, by itself, is just static text. For Adobe Acrobat Sign to know where a customer needs to sign, initial, or fill something in, the template needs special markers called text tags — plain text strings embedded directly into the Word template before it's ever merged. When the finished document is sent to Adobe Sign, Adobe automatically scans it, finds these tags, and converts them into live, interactive fields for the signer. For the contract, the template includes tags like: {{Customer_Sign_es_:signer1:signature}} {{Date_Of_Signature_es_:signer1:date}} {{Financial_Institution_es_:signer1}} {{BSB_Number_es_:signer1}} {{Account_Name_es_:signer1}} {{Account_Number_es_:signer1}} Each tag follows Adobe's syntax: a field name, the _es_ identifier, the signer role (signer1), and an optional field type (signature, date, or left blank for a plain fillable text box). Because these tags are just text, they can sit anywhere in the Word template exactly where the business wants the field to appear — no separate field-placement tool required. Getting this right matters more than it looks. A few lessons learned building this out: The entire tag must stay on a single line and in a common font — if it wraps across a line break during merge or PDF conversion, Adobe won’t recognize it, and the raw tag text stays visible instead of becoming a field. Field type directives are limited to what Adobe actually supports (signature, date, initials, etc.) — leaving the type off entirely creates a plain fillable text field, which is what was used for the banking detail fields here. Converting the merged Word document to PDF before sending it to Adobe Sign tends to produce more consistent tag detection than sending the raw .docx. Because the tags are static text baked into the template, no extra configuration is needed in Power Automate to "activate" detection — it happens automatically the moment the document is sent to Adobe Sign for signature. Step 3: Sending the Contract for Signature Once the Word template is fully populated, the flow hands it off to Adobe Acrobat Sign using the Create an agreement from a file content and send for signature action — passing the merged file straight through, along with the signer's name, email, and role. At this point, two things happen simultaneously: a) The customer's Contact person receives … Continue reading From Quote to Signed Contract in Minutes: Automating Adobe Acrobat Sign Integration for an Australia based Linen and Garments company →

From Quote to Signed Contract in Minutes | Cloudfronts DocuSign Blog Summary Automated end-to-end contract generation and digital signing for an Australia-based commercial linen and garment services company using Dynamics 365 Sales, Power Automate, and DocuSign. Eliminated manual contract preparation and PDF email workflows, replacing them with a one-click process triggered directly from the Dynamics 365 Quote record. Integrated DocuSign envelope creation, recipient assignment, and signature tab placement — all orchestrated through Power Automate cloud flows. Enabled real-time contract status tracking and automatic archival of signed PDF contracts back into SharePoint, linked directly to the originating Quote. Reduced contract turnaround time from days to hours, allowing the sales team to focus on customer relationships rather than administrative paperwork. Delivered a seamless customer experience — recipients receive a professionally formatted DocuSign email and can sign digitally from any device. Table of Contents 01 Summary 02 Introduction 03 The Business Problem 04 The Solution 05 Implementation 06 Business Impact 07 FAQs 08 Conclusion Introduction In industries where service agreements govern weekly delivery schedules, pricing structures, and compliance obligations, the speed and accuracy of contract execution can directly impact revenue and customer satisfaction. For commercial textile and linen services businesses in Australia, every signed contract represents a new route, a new customer, and a new revenue stream. Yet for many organisations, the final leg of the sales journey — converting an approved quote into a signed, legally binding contract — remains a surprisingly manual, error-prone process: exporting Word documents, emailing PDFs, chasing signatures, and manually filing returned documents. This blog documents how we at Cloudfronts transformed that process for a leading Australian commercial linen and garment services provider — deploying a fully automated DocuSign integration within Microsoft Dynamics 365 and Power Automate to take contracts from generation to signature without any manual intervention. The Business Problem Our client operates across multiple depots in Australia, servicing hotels, aged care facilities, hospitality venues, and healthcare providers with regular linen and garment delivery contracts. Their sales team works within Dynamics 365 Sales Hub, managing quotes that detail complex pricing, delivery schedules, weight-based charges, and product schedules. Before the integration, the contract signing process looked like this: A sales representative would generate a contract Word document from a template. The document was manually reviewed and converted to PDF. The PDF was emailed to the customer’s contact for signature. The customer would print, sign, scan, and return the document. The signed document would be manually uploaded to SharePoint and linked to the quote. This process introduced several critical pain points: Delays of 3–7 business days waiting for customer signatures. Inconsistent document versions being sent to customers. No visibility into whether a contract had been opened, reviewed, or signed. Risk of lost or misplaced signed documents. Significant administrative burden on the sales team. The business needed a solution that was seamless for both their internal team and their customers — something that could be triggered with a single action and would handle everything from document preparation to legally valid digital signature collection and storage. The Solution We designed and implemented a fully automated contract signing workflow that integrates Dynamics 365 Sales, Microsoft Power Automate, SharePoint, and DocuSign. The solution covers the entire lifecycle of a contract — from generation to signing to archival. Key Components Dynamics 365 Sales HubCentral system for quote and customer management. Power AutomateOrchestration layer connecting Dynamics 365, SharePoint, and DocuSign. SharePointDocument storage for generated and signed contracts. DocuSignDigital signature platform for legally binding contract execution. How It Works — At a Glance The solution is driven by two connected Power Automate flows: Send Contract Flow — Triggered manually from the Dynamics 365 Quote record. Retrieves the contract document from SharePoint, creates a DocuSign envelope, adds the contract document and recipient, places signature/name/date tabs, and sends the envelope. Receive Signed Contract Flow — Triggered automatically when the DocuSign envelope is completed. Retrieves the signed PDF from DocuSign and saves it to the same SharePoint folder, linking it back to the quote for a complete audit trail. Implementation 1 Step 1 Generate the Contract from Dynamics 365 The process begins in the Dynamics 365 Sales Hub on an approved Quote record. The sales representative clicks the Create Contract button in the command bar. This action triggers a workflow that generates a Service Contract Word document using the quote data and saves it to a dedicated Contracts folder in SharePoint, organised under the Quote number. Once generated, a confirmation dialog appears prompting the user to Open Contract for review before sending. The contract document is auto-named with the Quote ID and a timestamp, ensuring version control and traceability. 2 Step 2 Send the Contract for Signing After reviewing the document, the representative clicks Send Contract from the same Quote record. This triggers the main Power Automate flow — To send Contract Document to Customer for DocuSign. The flow executes the following steps: Compose Quote ID — Extracts and formats the Quote identifier. Get document location related to quote — Uses a FetchXML query against the SharePoint Document Location entity in Dataverse to locate the correct SharePoint folder linked to the Quote. Get Quote, Get Customer, Get Contact — Retrieves the customer’s full name and email address from Dynamics 365 for use as the DocuSign recipient. Initialise variables — Sets up Envelope ID, Recipient ID, and Parent Site location for downstream use. Iterate and locate the contract file — Loops through the SharePoint document library, resolves parent locations, retrieves file content, properties, and metadata. Create DocuSign Envelope — Creates an envelope with the subject line ‘DocuSign: Review & Sign the Contract Document’ and a personalised email body addressed to the customer contact. Add Document to Envelope — Attaches the contract Word document (encoded as Base64) to the envelope as a DOCX file. Add Recipient — Adds the customer contact as a signer with their full name and email from Dynamics 365. Add Signature Tabs — Places signature & other fields expaected to be filled by the recipient on … Continue reading From Quote to Signed Contract in Minutes: Automating DocuSign Integration for an Australia-Based Commercial Laundry Services Company →

Summary Implemented Markdown-based formatting standards for Power Automate Approval Requests at a Texas-based Operational Security Provider. Transformed plain-text approval emails into structured, executive-friendly approval experiences. Improved readability through headers, sections, tables, lists, hyperlinks, and emphasis formatting. Reduced approver effort by presenting key business information in a consistent and easily consumable format. Leveraged native Power Automate Approval Markdown capabilities without requiring custom development. Improved approval turnaround times by making critical information easier to review and approve. Table of Contents Introduction The Business Problem The Solution Using Headers for Section Separation Using Line Breaks and Paragraphs Using Bullet Lists for Business Information Using Numbered Lists for Approval Steps Using Nested Lists for Additional Context Using Tables for Approval Summaries Using Hyperlinks for Record Navigation Using Emphasis for Important Information Escaping Special Characters Building a Structured Approval Request Limitations Business Impact FAQs Conclusion 1. Introduction In Microsoft Dynamics 365 Project Operations, quotes represent a critical milestone in the sales lifecycle. Before a quote can be activated and progress toward project execution, organizations often require review and approval controls to ensure pricing accuracy, contractual compliance, and business alignment. Since Quote Review & Approval is not a standard capability within Dynamics 365 Project Operations, this requirement typically requires customization. For a Texas-based Operational Security Provider, the requirement extended beyond a simple approval process. The organization needed a controlled workflow where only designated business leads associated with a specific Opportunity or Quote could generate, submit, and approve customer quotations, ensuring accountability and governance throughout the approval chain. A custom approval framework was developed using Microsoft Power Automate and Dynamics 365 Project Operations to automatically identify approvers and route quotes through the required approval process before activation. While the workflow successfully enforced the necessary business controls, the approval requests themselves were difficult to review. Critical information such as customer details, quote values, approval notes, and record links were presented as plain text, making approvals slower and less efficient. To improve the approver experience, Markdown formatting was introduced within Power Automate Approval Requests. Using structured headers, tables, hyperlinks, emphasis formatting, and organized sections, approval notifications became significantly more readable and actionable across Outlook, Outlook Web, and Power Automate approval channels. This article focuses on how Markdown was used to transform standard approval request bodies into professional, executive-friendly approval experiences that improved readability, reduced approval effort, and accelerated quote approval decisions. 2. The Business Problem The organization manages a high volume of customer opportunities and project-based engagements, where quotes serve as the commercial foundation for service delivery. Before a quote could be activated and converted into an operational project, it needed to undergo a formal review and approval process involving designated business stakeholders. To support this requirement, a custom quote approval workflow was implemented within Dynamics 365 Project Operations and Power Automate. The workflow successfully enforced business rules, ensured only authorized personnel could submit and approve quotes, and provided the necessary governance around pricing and customer commitments. However, a significant usability challenge emerged during adoption. The approval requests being sent to approvers contained all the required information, but the content was presented as large blocks of plain text. As quote complexity increased, approvers found it difficult to quickly identify key details such as: Customer Name Opportunity Information Quote Number Total Quote Value Requested Approval Type Business Justification Requestor Information Direct Links to Dynamics 365 Records This often forced approvers to spend additional time reviewing approval requests or navigating back into Dynamics 365 to locate information that should have been immediately visible within the approval notification itself. The lack of visual structure created several operational challenges: Slower approval turnaround times Increased requests for clarification Inconsistent user experience across approval requests Difficulty identifying critical information at a glance Reduced executive engagement with approval emails Higher likelihood of approval delays for time-sensitive opportunities The business needed a way to present approval information in a format that was clear, professional, and easy to consume without requiring additional custom applications or significant development effort. The Objective: Transform approval requests from plain-text notifications into structured, decision-ready approval experiences that allowed stakeholders to review and act on quote approvals quickly and confidently. 3. The Solution One important limitation of the Power Automate Approval action is that it does not support custom HTML rendering within approval request bodies. Unlike standard email notifications where HTML templates can be used extensively, Approval actions rely on a restricted rendering engine that supports a subset of Markdown syntax. As a result, many approval requests are delivered as large blocks of plain text, making them difficult to review, especially when multiple business details need to be presented to approvers. To improve readability without introducing custom applications or alternative notification mechanisms, the approval request body was redesigned using Power Automate’s native Markdown capabilities. This approach allowed approval requests to be structured into clearly defined sections, highlight important information, provide direct navigation links, and present approval summaries in a more professional format. 3.1 Using Headers for Section Separation Headers are one of the simplest ways to introduce structure into approval requests. Syntax # Main Heading ## Section Heading ### Subsection Heading Example # Quote Approval Request ## Opportunity Information ## Financial Summary ## Approval Notes Headers create visual separation between different parts of the approval request and help approvers quickly locate relevant information. 3.2 Using Line Breaks and Paragraphs Approval requests often contain multiple fields and explanatory comments. Proper spacing prevents information from appearing crowded. Syntax Line One Line Two Or force a new line using two trailing spaces: Line One Line Two Example Requested By: John Smith Department: Operations Approval Required Before Quote Activation Proper spacing significantly improves readability compared to continuous blocks of text. 3.3 Using Bullet Lists for Business Information Bullet lists are useful when presenting multiple approval considerations, requirements, assumptions, or supporting notes. Syntax – Item One – Item Two – Item Three Example ### Key Considerations – Executive review required – New customer engagement – Pricing exception applied – Legal review completed Bullet lists allow approvers to scan … Continue reading Enhancing Power Automate Approval Experiences with Markdown Formatting for a Texas-Based Security Operations Firm →

How We Built a Real-Time Lightweight Financial Statement Reporting Experience Directly Inside Microsoft Dynamics 365 Project Operations Summary Designed and deployed a lightweight, real-time financial statement reporting solution directly inside Microsoft Dynamics 365 Project Operations for a Texas-based Cybersecurity & AI Business Solutions firm. Eliminated dependency on heavy paginated reporting and large-scale Power BI datasets for operational financial visibility. Built an interactive HTML + JavaScript reporting framework embedded natively within Dynamics 365 CRM. Enabled dynamic filtering, instant report rendering, and printable customer-ready statements directly from the CRM interface. Introduced popup-based full-screen report rendering for detailed review and print-ready output without leaving Dynamics 365. Integrated funding balances, allocations, transactions, installment schedules, and financial snapshots into a single operational reporting experience. Reduced reporting development complexity, minimized data transformation overhead, and improved scalability compared to traditional BI-heavy architectures. Created a highly maintainable reporting model that scales efficiently as operational datasets grow without introducing significant Power BI licensing or performance constraints. Table of Contents Introduction The Business Problem The Solution Architecture Real-Time CRM-Native Reporting Lightweight Front-End Reporting Framework Popup-Based Printable Report Experience Data Model and Reporting Components Design Principles Business Impact Why This Approach Worked FAQs Conclusion 1. Introduction As organizations scale, operational reporting often becomes increasingly difficult to maintain. For a Texas-based Cybersecurity & AI Business Solutions firm operating on Microsoft Dynamics 365 Project Operations, this challenge became especially visible in financial agreement tracking and customer funding visibility. The business already had access to reporting platforms such as Power BI and paginated reports. However, these approaches introduced several operational problems: Long development cycles Heavy data-cleaning requirements Complex transformation pipelines Delayed visibility into operational data Increasing licensing costs as datasets expanded Slow report rendering for operational users Dependency on external reporting infrastructure Instead of another external BI layer, the organization wanted a lightweight operational reporting experience directly inside Dynamics 365 CRM itself. The Goal: Build a real-time, CRM-native financial reporting experience that renders instantly, supports dynamic filtering, enables printing, and scales without heavy BI infrastructure. 2. The Business Problem The organization manages multiple long-running service agreements, funding allocations, installment schedules, and customer financial balances across cybersecurity services, managed services, and AI solution engagements. Operational users needed a consolidated statement experience that could answer questions such as: What is the customer’s current available balance? Which transactions impacted the balance during a selected period? Which allocations are currently active? How much funding has been consumed vs allocated? Which installments are pending, paid, or overdue? What does the latest funding snapshot look like? Can the report be reviewed and printed directly from CRM? Paginated Reporting Limitations Increasing query complexity Performance degradation with larger datasets Heavy formatting maintenance Limited interactivity Rigid deployment cycles Power BI Challenges Significant Power Query transformations Data-cleaning pipelines Incremental refresh considerations Dataset refresh latency Licensing growth with scale Overengineering for transactional operational reporting 3. The Solution Architecture The reporting framework was designed as a native Dynamics 365 embedded reporting experience using: HTML Web Resources JavaScript Dynamics 365 Web API Native CRM navigation APIs Real-time entity retrieval Popup-based print rendering Embedded Operational Report Apply filters Select funding records Choose reporting periods Generate statements instantly Navigate operational financial data Popup Print Report Detailed review Executive presentation Customer-facing statements Printing and PDF generation 4. Real-Time CRM-Native Reporting One of the most important architectural decisions was avoiding external data replication entirely. Instead of pushing transactional data into a separate reporting warehouse, the report retrieved data directly from Dynamics 365 using the native Web API. Real-time visibility Zero synchronization lag Reduced infrastructure complexity Lower maintenance overhead Faster deployment cycles Everything rendered on demand inside the CRM session itself. 5. Lightweight Front-End Reporting Framework The reporting experience was intentionally designed to behave more like a modern application than a traditional report. Dynamic Filter Bar Users could dynamically filter reports using: This Month Last Month This Quarter Current Year Custom Date Ranges Funding Status Funding Selection The report regenerated instantly without page reloads. Responsive Report Rendering The reporting layout dynamically populated: Account Summary Transaction Details Allocation Summary Installment Details Detailed Account Summary Each section rendered independently based on live API responses. Intelligent Empty-State Handling Instead of showing blank tables or errors, the framework displayed contextual empty-state messaging such as: “No transactions during this statement period” “No active allocations” “No installment details available” This significantly improved usability for operational teams. 6. Popup-Based Printable Report Experience A major requirement was enabling users to thoroughly review and print reports directly from CRM. To solve this, the solution introduced a dedicated popup rendering architecture. Users could click: “Expand Report” This launched a fullscreen popup using Dynamics 365 navigation APIs with: Large-format rendering Print-optimized layout Full customer statement formatting Multi-page support Consistent branding Printable tables Customer reference guides The popup approach delivered several advantages: Better readability Cleaner print formatting Improved executive review experience Isolation from CRM form clutter Easier PDF generation Most importantly, the popup still worked entirely against live CRM data. 7. Data Model and Reporting Components The report consolidated multiple operational areas into a single experience. Account Summary Provided a high-level balance overview including: Balance Forward Total Credits Total Debits Closing Balance This gave immediate visibility into customer financial standing. Transaction Details Displayed detailed running balance activity including: Document date Transaction description Service type Credits Debits Running balance Transactions dynamically recalculated balances during rendering. Allocation Summary Tracked funding allocation activity including: Allocated funds Consumed funds Remaining balance Allocation status Returned allocations were handled separately with custom date logic. Installment Tracking Displayed installment lifecycle visibility including: Invoice dates Due dates Payment dates Payment terms Installment status The report intelligently handled future-dated payments and pending statuses. Detailed Funding Snapshot Displayed operational funding metrics including: Starting Balance Contracted Funds Total Budgeted Funds Collected Funds Used Funding Available Funds Allocated Funds Unallocated Funds This created a complete operational funding overview within a single screen. 8. Design Principles Several architectural principles guided the solution. Real-Time Over Batch Processing Operational reporting should reflect current business activity immediately. The solution avoided overnight refresh cycles entirely. Lightweight Over Heavy BI Not … Continue reading How We Built a Real-Time Lightweight Financial Statement Reporting Experience Directly Inside D365 PO for a Texas-Based Cybersecurity Firm →

Building a Controlled Booking-to-Time Entry Import Framework Inside Dynamics 365 Project Operations Summary Two Texas-based firms — one in Cybersecurity, another in Operational Security — required a streamlined and controlled Time Entry (TE) creation process inside Dynamics 365 Project Operations. Native D365 Project Operations limitations around Project Task visibility, booking-driven TE creation, and inconsistent resource submissions created operational inefficiencies. A fully customized solution was implemented directly inside Dynamics 365 CRM using HTML Web Resources, JavaScript, Dataverse Web API, Ribbon Enable Rules, and custom plugins. The solution centralized TE creation under Project Managers and Project Approvers, enabling controlled and secure booking-based TE management. A custom booking import framework dynamically surfaced only authorized projects and resources based on Project Approver relationships. Custom plugin logic and Resource Assignment–based task resolution automated Project Task mapping for accurate Time Entry creation. Key capabilities delivered included controlled booking imports, role-based visibility, automated task association, external comments support, and bulk TE creation. Dynamic filtering ensured Project Managers could only access resources and bookings associated with projects they were authorized to manage. The entire experience operated natively inside Dynamics 365 Project Operations without external portals, Power Apps screens, or third-party applications. The implementation reduced manual effort, improved TE submission reliability, increased operational flexibility, and enabled more accurate tracking of actual project work. Table of Contents Introduction The Business Problem & Pain Points The Solution Architecture Implementation Design Principles Business Impact Why This Approach Worked FAQs Conclusion 1 Introduction Two Texas-based firms operating in the Cybersecurity and Operational Security space relied heavily on Dynamics 365 Project Operations for project delivery tracking, resource management, and operational execution. As project operations scaled, Project Managers and Project Approvers required a faster and more controlled mechanism for creating Time Entries (TEs) directly from resource bookings. The organizations needed a solution that could simplify booking imports, improve Project Task mapping, enforce role-based visibility, and reduce the dependency on individual resources for manual TE submissions. Operationally, Project Managers were often responsible for validating and entering actual work performed, making the standard TE process inefficient and time-consuming. Key Challenges Standard Dynamics 365 Project Operations behavior did not fully support project-task-aware Time Entry creation from bookings. Project Task values were not consistently available across Resource Requirements and bookings in several PO environments. Resource-driven TE submission resulted in inconsistent and delayed operational reporting. Project Managers lacked centralized visibility and controlled access to resource bookings across approved projects. Native booking import and TE creation workflows lacked flexibility for operational governance and scalability. Goals of the Solution Centralize Time Entry creation under Project Managers and Project Approvers. Enable controlled booking imports with role-based project visibility. Automate Project Task association during TE creation. Allow bulk creation of booking-driven Time Entries directly inside CRM. Improve operational accuracy, flexibility, and governance without relying on external applications or custom portals. 2 The Business Problem & Pain Points 1. Native Booking-to-Time Entry Limitations Standard Dynamics 365 Project Operations behavior did not consistently expose Project Task information through Resource Requirements and Bookings. This created gaps in task-aware Time Entry creation and forced users to manually reconstruct operational context during the TE process. 2. Lack of Controlled Booking Visibility Default system behavior provided broader booking visibility than operationally required. The organizations needed a controlled access model where only designated Project Managers and Project Approvers could view and manage booking imports for authorized projects. 3. High Manual Effort in Time Entry Creation Project Managers and operational teams spent significant time manually entering project references, tasks, durations, and external comments for each Time Entry. This increased administrative overhead and reduced operational efficiency. 4. Inconsistent Resource-Driven Submission Process The organizations faced reliability challenges with resource-submitted Time Entries, leading to delays, missing entries, and inconsistencies in operational reporting. Project Managers required centralized ownership over TE creation to ensure accurate work tracking. 5. Fragmented User Experience Users were required to navigate across multiple Dynamics 365 screens and entities to complete routine booking import and Time Entry operations, making the process cumbersome and inefficient for daily operational usage. 6. Scalability and Maintainability Concerns The firms required a lightweight and scalable solution that could operate natively within Dynamics 365 Project Operations without introducing unnecessary Power Apps layers, external portals, or high-maintenance custom applications. 3 The Solution Architecture Architecture Diagram and Flow Figure: Complete Frontend – Backend behaviour of the TE Automation Module. Dynamics 365 Ribbon Workbench A custom “Import Resource Bookings” ribbon action was introduced to provide controlled access to the booking import process only for authorized Project Managers and Project Approvers. JavaScript + Dataverse Web API JavaScript and Dataverse Web API were used to handle dynamic project filtering, approver validation, booking retrieval, task mapping, and automated Time Entry creation directly inside CRM. HTML Web Resources Two custom HTML-based interfaces were developed: Resource Selection Interface — controlled resource visibility and selection Booking Import & TE Creation Interface — booking imports, task selection, external comments, and bulk Time Entry creation Dataverse Plugin Layer A lightweight custom C# plugin was implemented to support Project Task resolution, task validation, and booking-to-Time Entry automation scenarios not fully supported natively in Dynamics 365 Project Operations. Dataverse Entities Involved The solution leveraged multiple Project Operations entities: msdyn_project msdyn_projectteam msdyn_resourceassignment msdyn_projecttask bookableresource msdyn_resourcerequirement bookableresourcebooking msdyn_timeentry Together, these entities enabled secure, project-aware, and task-aware operational workflows directly inside Dynamics 365 CRM. Entity Relationships Figure: Relationships and associations of the involved entities. 4 Implementation 1. Role-Controlled Ribbon Visibility A custom ribbon action was implemented to ensure only authorized Project Managers and Project Approvers could access the booking import functionality. Visibility was dynamically controlled based on project approval relationships inside Dynamics 365. Figure: Case 1: When Logged in as a Project Approver/Manager. Figure: Case 2: When NOT Logged in as a Project Approver/Manager. 2. Resource Selection Experience A custom resource selection interface was developed to display only eligible resources associated with projects managed by the logged-in approver. This provided secure and simplified operational visibility. Figure: Bookable Resource Selection from a list of Active Bookable Resources, which are under any Project, where the current … Continue reading Building a Controlled Booking-to-Time Entry Import Framework Inside Dynamics 365 Project Operations for Texas-Based Operational Security & Cybersecurity Firms →

Summary Designed a two-page Power BI Income Pipeline Report for a Texas-based Cybersecurity & AI Business Solutions firm using Microsoft Dynamics 365 Project Operations. Unified visibility across Opportunity, Unbilled Income, Billed Income, and Paid Income in a single view. Introduced Average Turnaround to forecast realistic cash collection timelines based on actual payment behavior. Integrated Dynamics 365 Project Operations with QuickBooks to connect sales, delivery, invoicing, and cash collection. Enabled a 17-week rolling revenue forecast with week-by-week cash visibility. Provided dual invoice status for contractual vs realistic payment tracking. Table of Contents 1. Introduction 2. The Business Problem 3. Report Structure Overview 4. The Income Pipeline 5. Project Revenue Forecast 6. Design Principles 7. Business Impact 8. FAQs 9. Conclusion 1. Introduction Managing revenue across a professional services firm is rarely straightforward. When your business spans cybersecurity assessments, AI-driven solutions, and long-term managed services engagements, the gap between work being delivered and cash actually landing in the bank can be wide — and costly if left unmonitored. This is precisely the challenge we set out to solve for a U.S.-based Cybersecurity and AI Business Solutions firm running their operations on Microsoft Dynamics 365 Project Operations. The result was a two-page Power BI report — the Income Pipeline Report — that gives leadership a real-time, end-to-end view of every dollar moving through the business: from early-stage opportunity, through unbilled and billed income, all the way to cash collected. This post walks through how the report was built, how each data layer was modelled, and why the design decisions were made the way they were. 2. The Business Problem The firm needed clarity across four distinct but connected stages of their revenue lifecycle: Sales opportunities and pipeline value Delivered but unbilled work Outstanding invoices and expected payments Actual vs expected payment behavior This would answer as well as resolve the following questions – Where are active sales opportunities sitting, and how much pipeline value do they represent? Which project work has been delivered but not yet invoiced? Which invoices have been raised and sent to clients, and when are they realistically going to be paid? And finally, how does actual payment behaviour compare against what was expected? Each of these questions existed in isolation before. Project managers had partial visibility into their own contracts, and needed a comprehensive bird’s eye view of all of these together. Finance had QuickBooks data but lacked the context of the delivery pipeline. Leadership had no consolidated view. The Income Pipeline Report brought all of this together in a single, navigable Power BI experience. 3. Report Structure Overview The report consists of two pages: Income Pipeline Report — a high-level pipeline view across four stages: Opportunity, Unbilled Income, Billed Income, and Paid Income, each with summary cards and interactive donut charts. Project Revenue Forecast — a time-distributed breakdown of expected cash collection across a rolling 17-week horizon, organised by customer and contract. 4. The Income Pipeline The Four-Stage Pipeline Banner Across the top of the report, four chevron-style stage indicators guide the revenue journey: Opportunity → Unbilled Income → Billed Income → Paid Income Each stage includes a summary card showing record count and total value Provides immediate visibility into where revenue is sitting Highlights potential bottlenecks across the pipeline Stage 1 — Opportunity Data sourced from Dynamics 365 Sales using Business Process Flow (BPF) Uses active BPF stage (Develop, Propose, Close) instead of static fields Ensures accurate reflection of real sales progression Estimated revenue pulled directly from opportunity records Donut chart shows distribution across Develop, Propose, and Close stages Stage 2 — Unbilled Income Represents contracted or delivered work not yet invoiced Sourced from project contract lines in Dynamics 365 Project Operations Includes: Fixed Fee milestones (explicit values) Time & Material (T&M) estimates based on resource allocations T&M calculated as allocated hours × billing rate Clearly marked as estimated until billing run is executed Grouped into payment expectation buckets (30, 60, 90, 120, 180+ days) Uses Average Turnaround to forecast realistic payment timing Stage 3 — Billed Income (Confirmed Invoices) Combines Dynamics 365 Project Operations and QuickBooks data Tracks invoices that are confirmed and sent to clients Introduces Average Turnaround: Average days from invoice creation to payment Based on historical payment behaviour Each invoice has two statuses: Contractual (due date) Estimated (based on Average Turnaround) Provides realistic vs contractual payment visibility Includes: Due-date based categorisation Estimated overdue analysis Prevents misleading insights from strict payment terms alone Stage 4 — Paid Income Tracks fully collected invoices Uses QuickBooks for actual payment dates Groups payments by time bands (under 30, 60, 90 days, etc.) Enables comparison between actual vs estimated payment behaviour Continuously improves accuracy of Average Turnaround Tooltip Drill-Down Hover shows: Payment band Record count Total value Drill-through available for detailed record-level analysis 5. Project Revenue Forecast Overview Distributes expected cash collection across a rolling 17-week window Shifts view from pipeline stage to time-based forecasting Hierarchy and Structure Customer → Contract → Revenue Type Revenue types include: T&M run schedules Fixed Fee milestones Confirmed invoices Each row shows: Customer Contract Billing type Average Turnaround Value mapped to expected payment week Weeks range from Week 0 to Week 16 Top row aggregates total expected cash per week Colour Coding Amber — Unbilled income Green — Invoice within terms Red — Overdue (based on estimated payment date) Drill-Through to Detail Click any row to view detailed breakdown Includes: Billed invoices with due and estimated dates Unbilled milestones and run schedules Connects high-level forecast to transactional detail 6. Design Principles Average Turnaround over payment terms Reflects actual customer behaviour instead of contractual assumptions. Dual invoice status Provides both contractual and realistic payment visibility. Consistent time buckets Ensures comparability across Opportunity, Unbilled, Billed, and Paid stages. Weekly forecasting instead of monthly Supports short-term cash flow planning aligned with operational rhythm. 7. Business Impact Improved cash flow predictability Earlier visibility of at-risk invoices Unified cross-team visibility Improved T&M billing discipline Increased accountability 8. FAQs What is Average Turnaround and why does it … Continue reading How we designed & deployed an Income Pipeline Report for a Texas, U.S. based Cybersecurity & AI Business Solutions Firm, via MS D365 Project Operations and Power BI. →

Summary A Houston-based cybersecurity firm eliminated report failures (~65%) by replacing SSRS with an Azure Function App pipeline. Dynamics 365 bound action ensured authentication stayed internal, bypassing Defender-related token failures. Integrated Power Pages, Power Automate, Dynamics 365, and Azure Functions for real-time PDF generation. Report generation time reduced from 3–8 minutes to under 15 seconds with zero infrastructure overhead. Table of Contents 1. About the Customer 2. The Challenge 3. The Solution 4. Technical Implementation 5. Business Impact 6. FAQs 7. Conclusion 1. About the Customer The client is a technology consulting and cybersecurity services firm based in Houston, Texas. They manage multiple concurrent client engagements using Dynamics 365 Project Operations as their core platform. Project managers and clients access live project data through a customer-facing portal built on Microsoft Power Pages. 2. The Challenge The organization needed one-click downloadable Project Status Reports from their Power Pages portal covering risks, issues, logs, and timelines. Their SSRS-based solution failed frequently due to authentication breakdowns caused by Microsoft Defender for Cloud Apps across multiple service boundaries. Key pain points: Silent authentication failures with no clear errors Retry delays of 60–90 seconds per attempt Separate SSRS infrastructure dependency Slow report customization cycle Project managers avoided generating reports during live meetings due to reliability concerns. 3. The Solution At Cloudfronts, while working on this project, I replaced the SSRS pipeline entirely with a synchronous, serverless architecture that keeps the authentication context inside the Dynamics 365 service layer. Technologies Used: Dynamics 365 Project Operations Power Pages Power Automate Plugins Azure Function Apps The solution generates fully formatted PDFs in real time using structured JSON payloads. This eliminated authentication failures while significantly improving speed and reliability. 4. Technical Implementation 1] Power Pages Button triggers Flow A “Download Report” button captures the project GUID and triggers a Power Automate flow with real-time progress feedback. 2] Dynamics 365 Plugin prepares JSON payload A bound action plugin retrieves all project data and converts it into a clean JSON payload for PDF generation. 3] Azure Function generates PDF The Azure Function processes the JSON and generates a formatted PDF, returning it as a Base64 string. 4] SharePoint Integration The generated PDF is automatically stored in the associated SharePoint document location linked to the project. This ensures centralized document management, version control, and easy access for stakeholders directly within the project workspace. 5] Portal PDF Preview The Base64 PDF is rendered directly in the portal using an iframe, allowing instant preview and download. Video: End-to-end implementation of real-time PDF report generation. 5. Business Impact 100% success rate — zero failures post deployment Under 15 seconds report generation time No infrastructure — fully serverless Zero authentication failures Faster iteration for report updates Project managers can now confidently generate reports during live client meetings. 6. FAQs Why not fix the SSRS authentication issue instead of replacing SSRS entirely? The authentication failures were a structural consequence of traversing multiple service boundaries in an environment with strict Defender for Cloud Apps session policies. Fixing them would have required either relaxing those policies — which the client’s security posture did not permit — or re-architecting the data retrieval to stay inside the platform, which is exactly what the bound action approach achieves. Replacing SSRS also removed a separate infrastructure dependency and gave the client full control over report formatting in code. Can this pattern be reused for other document types in Dynamics 365? Yes. The Azure Function App’s renderer is data-driven — it consumes a JSON payload and builds tables from whatever keys are present. The Dynamics 365 plugin can be adapted to query any entity and produce an equivalent payload. CloudFronts has applied the same pattern to inspection records, summary reports, and client-facing status documents across Professional Services and Manufacturing implementations. Does this work for environments without Microsoft Defender for Cloud Apps? Yes. The architectural benefits — synchronous generation, serverless PDF rendering, no SSRS infrastructure, and in-browser preview — apply regardless of the security layer on the environment. 7. Conclusion Replacing SSRS with an Azure Function App-based PDF renderer resolved both the reliability and authentication problems in a single architectural shift, delivering instant, professional-quality Project Status Reports from a Microsoft Power Pages portal with no legacy reporting infrastructure to maintain. The key lesson from this project is that keeping authentication within the Dynamics 365 service layer — rather than bridging to external systems — eliminates an entire category of environment-specific failures that are otherwise very difficult to diagnose and fix. By keeping authentication within Dynamics 365 and leveraging serverless architecture, the solution delivers instant, high-quality reports without infrastructure overhead. This approach demonstrates how modern cloud-native patterns can eliminate entire classes of system failures while improving user experience dramatically. Ready to modernise document generation in your Dynamics 365 environment?CloudFronts builds scalable Power Platform and Dynamics 365 solutions that replace legacy reporting infrastructure and automate document workflows. Reach out at transform@cloudfronts.com. Shashank Keny Associate Consultant · CloudFronts Shashank Keny is an Associate Consultant at CloudFronts with 1.5+ years of experience in cloud, data, and business applications. He specializes in building scalable, API-driven architectures and integrating enterprise systems across the Microsoft ecosystem. He is a Certified Databricks Data Engineer with hands-on experience in Dynamics 365 Project Operations and Dynamics 365 Sales, along with delivering business intelligence solutions using Power BI. His expertise also extends to modern AI solutions, including building custom copilots and implementing intelligent applications using Azure AI Foundry. Passionate about solving real-world business challenges through data and AI, he focuses on delivering efficient, scalable, and production-ready solutions. Experience: 1.5+ years Certification: Databricks Certified Data Engineer Specialization: Dynamics 365 Project Operations, Power BI, Azure Integrations, AI Solutions View LinkedIn Profile