Microsoft Syntex 2026 Update: The Ultimate Companion Guide

The landscape of Microsoft content management has undergone a complete architectural and branding overhaul since late 2022. The transition from the legacy Microsoft Syntex platform to the current AI-driven ecosystem represents a fundamental shift in how organizations manage, secure, and automate their unstructured data. The original 2022 session delivered by Kevin McDonald provided a comprehensive look at what was then known as Project Cortex and SharePoint Syntex. However, the rapid advancement of Large Language Models (LLMs) and the introduction of Microsoft 365 Copilot have fundamentally altered the deployment mechanics, licensing structures, and end-user experiences within the platform.

This report serves as an exhaustive, definitive companion guide to that original session, meticulously mapped to the current realities of April 2026. The objective is to translate the historical demonstrations into actionable, modern implementation strategies. Practitioners must understand that the centralized, machine-learning-heavy approaches of 2022 have been entirely replaced by decentralized, natural-language-driven agentic workflows. The focus has shifted from training rigid models in isolated Content Centers to deploying dynamic, context-aware AI directly into the document libraries where end users actively collaborate.

This guide is structured to provide an immediate summary of technological changes, followed by highly detailed, step-by-step reconstructions of the original session's demonstrations using the tools available today. It concludes with a comprehensive analysis of the modernized licensing structures, including the recently announced Microsoft 365 E7 Frontier Suite.

What's Changed Since This Session

The following table summarizes the key technological and branding transitions from the legacy Microsoft Syntex era to the current April 2026 ecosystem. Practitioners must familiarize themselves with this updated terminology to navigate the modern Microsoft 365 administration centers effectively.

How to Build This Today

This section provides a highly detailed, step-by-step reconstruction of the original session's demonstrations. The methodologies rely entirely on the modernized toolsets available in the April 2026 tenant environment. Each subsection addresses a specific core capability demonstrated in the 2022 presentation and explains the exact administrative pathways required to achieve the same business outcome today.

1. Setting up Syntex in a brand new tenant

The session showed you activating Syntex using a trial license or paid version, including exact steps for a new tenant. Here is how you'd build that same thing today in April 2026.

The legacy setup process involved a rigid procedure of assigning individual Syntex licenses to users and provisioning a centralized Content Center site. This approach created significant friction for organizations attempting to run agile proof-of-concept deployments. The modern 2026 approach has entirely eliminated the necessity for upfront licensing commitments for basic document processing functionalities. Instead, Microsoft routes these capabilities through a flexible, consumption-based pay-as-you-go billing model. This mechanism is linked directly to an active Azure subscription, allowing organizations to pay strictly for the computational resources they utilize.

The initial setup phase requires elevated administrative privileges. The practitioner executing these steps must hold Global Administrator or SharePoint Administrator credentials, alongside sufficient Azure Role-Based Access Control (RBAC) permissions to create and manage billing resources.

Step 1: Provision the Azure Subscription Infrastructure

The foundation of the modern billing backend relies entirely on Azure resources. The administrator must establish this linkage securely before touching any SharePoint configurations.

• Navigate to the Azure Portal at portal.azure.com and authenticate with appropriate administrative credentials.
• Select Subscriptions from the main dashboard or the persistent search bar.
• Click Add to generate a new subscription, assigning it a highly descriptive nomenclature (e.g., "M365-DocumentProcessing-Billing") to ensure clarity during financial audits.
• Associate the new subscription with the appropriate corporate billing account and finalize the provisioning sequence.
• Ensure a dedicated Resource Group exists within this subscription. This container will house the specific consumption metrics generated by SharePoint, keeping them isolated from other Azure infrastructure costs.

Step 2: Activate Pay-As-You-Go Services in Microsoft 365

With the Azure backend successfully prepared, the administrator must bridge the connection within the Microsoft 365 ecosystem. This action authorizes the tenant to begin logging document processing events against the Azure meter.

• Access the Microsoft 365 Admin Center at admin.microsoft.com.
• In the persistent left-hand navigation pane, locate and expand the Setup node.
• Scroll down to the Billing and licenses section and explicitly select the Activate pay-as-you-go services option.
• Click the Get started button presented on the activation splash page to initiate the linking wizard.

Step 3: Configure Document Processing Services

The activation wizard requires the administrator to manually link the specific SharePoint services to the Azure resource group established in the first phase.

• Navigate to the Settings tab (or Billing tab, depending on the specific tenant rollout ring) and select Document processing services.
• A contextual side panel titled Set up billing and turn on services will appear on the right side of the screen.
• Use the provided dropdown menus to map the deployment to the Azure subscription, Resource group, and physical Azure Region created in Step 1.19
• Carefully review and accept the pay-as-you-go terms of service, noting the transactional costs associated with various API calls.
• Click Save to initialize the deployment. The backend provisioning typically completes within several minutes.

Step 4: Cost Management and Budget Enforcement

Consumption-based pricing introduces inherent budgetary risks if left unmonitored. Heavy utilization of unstructured document processing or optical character recognition (OCR) can generate unexpected invoices. Best practices dictate the immediate configuration of hard spending alerts.

• Return to the Azure Portal and navigate directly to the assigned Resource Group.
• Under the Cost Management heading in the left menu, select Cost analysis.
• Filter the analytical view by Services and expand the Syntex / Document Processing category. This provides granular visibility into daily burn rates.
• Configure automated budget alerts to trigger email notifications to IT finance stakeholders when spending reaches 50%, 75%, and 90% of the allocated monthly limit.

Quick Win: Do not deploy pay-as-you-go services to "All sites" globally during an initial deployment. On the Document processing settings page, change the target scope from All sites to Selected sites (up to 100) to strictly ring-fence consumption costs during pilot rollouts.

Official Documentation:(https://learn.microsoft.com/en-us/microsoft-365/documentprocessing/syntex-azure-billing?view=o365-worldwide)

2. Content intelligence pillar

The session showed you AI-powered classification and processing of unstructured content in SharePoint/Teams/OneDrive. Here's how you'd build that same thing today in April 2026.

The legacy methodology for processing unstructured documents required navigating to a specialized Content Center. Administrators had to manually upload training files, laboriously define positive and negative entity extractors, and publish the static model to specific libraries. In 2026, this entire workflow has been rendered obsolete by the integration of sophisticated Large Language Models (LLMs). Unstructured document processing is now driven entirely by Autofill columns and the native AI in SharePoint integration.

The modern extraction engine utilizes Anthropic's Claude model (accessed securely via Azure AI Services) to dynamically extract, generate, or summarize metadata without the need for formal machine learning model training. End users and site administrators now interact with the AI directly within the context of their target document library, using conversational natural language to define data extraction parameters.

Step 1: Access the Target Document Library

The configuration process now occurs entirely on a local basis. There is no longer a need to visit or provision a centralized administrative hub.

• Navigate directly to the SharePoint document library that requires intelligent classification capabilities.
• Ensure the library contains a representative sample of existing business documents. The AI engine requires a baseline of existing files to analyze and suggest appropriate metadata structures.

Step 2: Launch the Agentic AI Experience

The 2026 interface update introduces a persistent, context-aware AI assistant designed specifically for library configuration and metadata management tasks.

• Locate the floating AI in SharePoint icon persistently positioned in the lower-right corner of the modern document library view.
• Click the icon to expand the quick actions menu.
• Select the Create autofill columns option from the provided list.
• The system opens a conversational chat panel. If this constitutes the initial setup for the library, the AI automatically analyzes up to 20 recent files. It will then proactively suggest up to three new metadata columns based on recognized patterns, such as automatically extracting an "Invoice Total" or "Vendor Name".4

Step 3: Define and Refine Extraction Prompts

The administrator possesses the flexibility to accept the AI's suggestions or command the engine to extract highly specific data points using custom natural language prompts.

• To mandate a custom extraction, type a descriptive prompt directly into the chat box. For example, "Extract the total contract value, exclude any applicable taxes, and format the output strictly as a numerical currency".4
• Review the AI-generated instruction. The backend system maps the natural language intent into a structured, executable query.
• Click the Edit prompt option located within the column settings panel to further refine the extraction behavior.
• Utilize the Test the prompt feature embedded directly in the panel. Select a sample file from the library, and the AI will display the exact string it intends to extract based on the current prompt logic.
• Iterate on the prompt until it behaves correctly across various edge cases and document variations, then click Save.

Step 4: Process Historical and Future Content

Saving the autofill configuration instantly transforms the library's operational behavior.

• Any new files uploaded to the library from this point forward are processed automatically. The extracted information populates the corresponding metadata columns instantaneously without any manual user intervention.
• To process historical data already residing in the repository, select the existing files within the library view.
• Navigate to the command bar at the top of the screen, select the ellipsis (...) to reveal extended options, and click Autofill.
• The system queues the selected files for batch processing. Administrators can monitor the execution status by selecting Autofill columns > View autofill activity directly from the command bar.

Quick Win: Maintain optimal library performance by adding no more than 10 autofill columns per individual library. The AI engine can natively process files up to 65 pages in length. If business documents frequently exceed this limitation, configure a Power Automate flow to split the files prior to upload to ensure reliable data extraction.

Official Documentation:(https://support.microsoft.com/en-us/topic/create-autofill-columns-cd86d635-a62d-4818-841b-25e00d2bb662)

3. Content services pillar

The session showed you extraction and automation services building on intelligence. Here's how you'd build that same thing today in April 2026.

The 2026 paradigm shifts automation significantly closer to the end-user interface. Complex, hidden background workflows designed in SharePoint Designer or complex Power Automate routing have been largely superseded by native Content Assembly tools for document generation and SharePoint Quick Steps for rapid, user-driven automation.

Content Assembly empowers organizations to automatically generate standardized business documents—such as commercial contracts, statements of work, or routine invoices—by seamlessly merging SharePoint list data into intelligent modern templates.

Step 1: Enable Content Assembly

The Content Assembly feature must be explicitly activated at the tenant level before site owners can leverage it.

• Access the Microsoft 365 Admin Center and navigate to Settings > Org settings.
• Select Pay-as-you-go services and click the Settings tab located at the top of the pane.
• Under the Document & image services category, explicitly select Content assembly.
• Click Edit under the site deployment options and assign the capability to the necessary operational SharePoint sites, preventing unnecessary sprawl of the feature.

Step 2: Build the Modern Template

The physical document generation process relies on accurately mapping structured list data to dynamic document placeholders.

• Navigate to the target document library where the generated files will ultimately reside.
• Upload an existing, standardized document (e.g., a master service agreement in standard .docx format) to serve as the structural baseline.
• Highlight the uploaded file and convert the document into a Modern Template via the dedicated button in the library command bar.
• Open the newly created template editor interface. Highlight specific text fields within the document body (e.g., Client Name, Effective Date, Total Fee) and replace them with dynamic placeholders.
• Map these placeholders to corresponding metadata columns residing in a designated SharePoint List that serves as the centralized data source.
• Publish the finalized template. End users can now select the template directly from the "New" menu dropdown, select a specific list item, and instantly generate a fully formatted, accurate contract.

Step 3: Implement SharePoint Quick Steps To automate downstream actions immediately upon document generation or data extraction, administrators should implement the modernized Quick Steps feature. This introduces a colorful, highly actionable button directly into the library view.

• Navigate to the library containing the autofill columns or the assembled documents.
• Click to add a new column and select the Quick Steps column type from the available options.
• Configure the button's specific action. Select Execute a Flow to connect a custom Power Automate workflow, or select Start a Teams Chat to instantly initiate a review conversation with a predefined stakeholder.
• Implement Smart Conditional Visibility. Configure the settings so the button only appears when the autofill column extracts a specific value. For instance, the "Submit for Financial Approval" button should only render in the UI when the extracted "Document Status" column equals "Draft".29

Quick Win: Combine the power of Autofill and Quick Steps for instant SLA management. Create an Autofill column to automatically extract the "Due Date" from an uploaded document. Concurrently, create a Quick Step button configured to trigger a Power Automate flow. The flow continuously evaluates the date, updates the item status to "SLA Breached" if necessary, and sends a high-priority adaptive card alert to the assigned owner in Teams.

Official Documentation:(https://learn.microsoft.com/en-us/microsoft-365/documentprocessing/content-assembly-setup?view=o365-worldwide) |(https://www.intelogy.co.uk/blog/complete-guide-to-sharepoint-quick-steps/)

4. Content discovery pillar

The session showed you analytics and search improvements. Here's how you'd build that same thing today in April 2026.

Classic SharePoint search queries, traditional search refiners, and basic content discovery mechanisms have been entirely eclipsed by the pervasive deployment of Microsoft 365 Copilot, Agent 365, and targeted Knowledge Agents. The 2026 ecosystem operates under the assumption that users will rarely manually craft complex Boolean search queries. Instead, users interact conversationally with AI agents that utilize sophisticated Retrieval-Augmented Generation (RAG) models to fetch, summarize, and synthesize secure enterprise data dynamically.

Step 1: Deploy a Knowledge Agent By default, every modern SharePoint site provisioned in the tenant now includes a "ready-made agent." This agent is automatically scoped specifically to that site's local content boundaries. However, for specialized use cases, administrators can create highly customized agents targeted at specific document libraries.

• Navigate to the target SharePoint document library intended for agentic discovery.
• Locate the Copilot icon or the explicit agent creation interface positioned in the primary library toolbar.
• Click Create an agent. The system automatically provisions the agent configuration file and saves it to the current library folder.
• Customize the agent's identity, branding, and behavioral instructions. The administrator can define the agent's specific purpose (e.g., "Legal Contract Assistant" or "Engineering Spec Finder").
• Modify the knowledge sources. Crucially, the administrator can explicitly include or exclude specific folders, connected hub sites, or external reference pages. This tightly controls the information boundary the agent utilizes to generate its answers, preventing cross-contamination of sensitive data.

Step 2: Optimize Content for AI Discovery Agents rely heavily on highly structured, semantically rich data to deliver accurate results. Legacy folder structures severely hinder AI performance and lead to degraded RAG outcomes.

• Ensure all critical libraries actively utilize the managed metadata and the dynamic Autofill columns established during the Content Intelligence phase.
• Structure document text with clear, logical heading hierarchies (H1, H2, H3). The Copilot indexing engine prioritizes semantic structure over flat, unformatted text when generating responses.
• Implement stringent lifecycle policies via SharePoint Advanced Management to automatically archive or delete stale content. This prevents the knowledge agent from surfacing outdated material or hallucinating facts based on obsolete policy documents.

Step 3: Analyze Search and Discovery Metrics

Administrators must monitor how effectively users are adopting and discovering content through these new conversational interfaces. The underlying analytics engine has evolved to track agent interactions.

• Navigate to the Microsoft 365 Admin Center and go directly to Settings > Search and Intelligence.
• Select the Insights tab and view the comprehensive Summary dashboard.
• Review the User Analytics and Query volume trend graphs. Note that starting in March 2026, Microsoft removed legacy field filters (such as Company and City parameters) from the native UI. Administrators requiring highly granular geographic analytics must now join metrics from the Microsoft 365 usage report Graph API and build custom visualization dashboards in Power BI.
• Utilize the SharePoint Admin Center > App Insights panel to continuously monitor which custom Copilot agents and registered non-Microsoft apps are actively querying SharePoint data, ensuring compliance with data governance policies.

Quick Win: Do not wait for a comprehensive tenant-wide migration to begin testing AI discovery capabilities. Deploy a custom Knowledge Agent strictly scoped to a single, low-risk "Human Resources Policies" library. This creates a safe, isolated sandbox environment where employees can ask natural language questions ("What is the standard paternity leave policy?") without risking exposure to sensitive financial data or unreleased executive strategy documents.

Official Documentation:(https://support.microsoft.com/en-gb/office/get-started-with-agents-in-sharepoint-69e2faf9-2c1e-4baa-8305-23e625021bcf) |(https://learn.microsoft.com/en-us/microsoftsearch/usage-reports)

5. End-user experience

The session showed you what end users see in SharePoint, Teams, and OneDrive after Syntex setup. Here's how you'd build that same thing today in April 2026.

The end-user interface experienced a massive, fundamental paradigm shift in March 2026. Microsoft comprehensively redesigned the SharePoint environment to pivot around three core user intents: Discovering content, Publishing content, and Building solutions. Furthermore, the traditional silos separating Microsoft Teams, OneDrive, and SharePoint have effectively dissolved, creating a unified intelligent fabric powered by the Graph API.

The SharePoint App Bar Redesign End users no longer land on a generic, disorganized corporate portal. The new SharePoint experience features a persistent, centralized App Bar located on the left side of the screen. This bar contains distinct nodes designed for specific workflows 41:

• Company Home: A fully branded, ownable digital space reflecting corporate culture. It surfaces targeted organizational news and provides rapid access to essential daily tools.
• Discover Node: Functioning as the personalized front door, this node uses the Microsoft Graph to proactively surface recent favorite sites, active file collaborations, and critical updates from frequent colleagues. This eliminates the need to hunt through email inboxes for context.
• Publish Node: A dedicated, streamlined workspace tailored for internal communicators. It aggregates content planning, writing, and analytical tools, allowing users to draft news pages and instantly distribute them simultaneously across Outlook, Teams, and Viva Connections.
• Build Node: The operational command center for digital creators. This node drastically simplifies the provisioning of new collaborative sites, lists, document libraries, and the creation of custom AI agents.

The Microsoft Teams Integration Content discovery, consumption, and management now occur seamlessly within the Microsoft Teams client, heavily enhanced by the recent 2026 platform updates.

• Enhanced Image and File Viewing: Users scrolling through shared documents or images in a Teams chat thread now experience the "Lightbox" interface. This isolates the viewed content, removing surrounding chat distractions for better focus.
• Automated Permissions: Sharing SharePoint files or collaborative Loop components with external parties directly within Teams no longer requires complex manual permission adjustments. The underlying system automatically governs and adjusts access boundaries on the fly.
• Agentic Search: When users execute searches within the Teams search bar, Copilot now actively scans SharePoint document libraries, OneDrive accounts, and Outlook email attachments simultaneously. It surfaces deeply buried metadata and contextual answers directly into the chat interface.

The AI-Driven Solution Building Experience

For users granted sufficient administrative permissions, creating a new departmental site or complex metadata library is no longer a manual configuration chore requiring specialized IT knowledge.

• The authorized end user toggles the New SharePoint interface mode.
• Using conversational natural language, the user types an intent, such as "Build a secure project portal for the Alpha team, including a contract tracking library."
• The system utilizes Agentic Building capabilities. The AI proactively proposes a structured deployment plan, suggests necessary document libraries based on the request, asks clarifying questions regarding security permissions, and generates the fully functioning site architecture instantly.

Quick Win: Actively instruct end users during training sessions to utilize the new Discover node as their daily starting point, rather than relying on traditional browser bookmarks. The relevance engine powering the Discover node updates in real-time based on actual collaborative behavior, drastically reducing the friction of locating critical documents modified by colleagues operating in different global time zones.

Official Documentation:(https://techcommunity.microsoft.com/blog/spblog/introducing-new-agentic-building-in-sharepoint-and-more-updates/4497987)

6. Acceleration with Microsoft Lookbook and PowerShell

The session showed you importing pre-built models from Lookbook and using PowerShell scripts for rapid deployment across libraries. Here's how you'd build that same thing today in April 2026.

The Microsoft Lookbook served its purpose during the classic SharePoint modernization era but has been entirely deprecated and removed from active service. In its place, Microsoft has integrated a highly sophisticated, native SharePoint Template Gallery directly into the user interface. Concurrently, all programmatic administration and automation have transitioned entirely to the cross-platform PnP PowerShell v3 module.

Step 1: Utilizing the Built-in Template Gallery

Instead of navigating to an external Lookbook website and authenticating to push designs to a tenant, authorized users and administrators now apply enterprise-grade designs directly from within the SharePoint UI.

• Navigate to the target Communication site or Team site's home page.
• Click the New button located in the primary command bar and select Page (or News post).
• The centralized Template Gallery modal will immediately appear. Select the From Microsoft tab located within this interface.
• Browse the rich, frequently updated collection of modern, out-of-the-box templates designed for highly specific business scenarios. Examples include a "Visual topic introduction" layout tailored for HR sites, or a "Product news" format optimized for development teams.
• Select the desired template to instantly generate a pre-configured page featuring dummy text placeholders, structurally sound sections, and optimally placed web parts ready for customization.

Step 2: Deploying Solutions via PnP PowerShell v3 For advanced administrators requiring the bulk deployment of configurations, list structures, or metadata definitions across hundreds of individual sites, PnP PowerShell remains the absolute industry standard. However, the legacy PnP module was permanently retired. Administrators must now strictly utilize PnP PowerShell v3, which operates cross-platform and explicitly requires a foundation of.NET 8.0 and PowerShell version 7.4.0 or higher.

To execute these deployments, administrators must follow a precise command sequence.

• Open a modern PowerShell terminal instance (pwsh).
• Install the latest module, forcing the required version specification if necessary to avoid legacy conflicts: Install-Module PnP.PowerShell -RequiredVersion 3.1.0 -Force.
• Authenticate directly to the target SharePoint tenant environment: Connect-PnPOnline -Url "https://tenant.sharepoint.com/sites/target" -Interactive.
• To deploy a pre-configured site design or template to multiple sites, administrators utilize the site script cmdlets. The command Invoke-PnPSiteTemplate -Path "./EnterpriseTemplate.pnp" applies the necessary configurations.
• Crucially, to programmatically manipulate the modern Autofill columns (which replaced the legacy Syntex models), administrators must interact with the underlying JSON property bag. The settings for Autofill are stored collectively in a hidden list property field named Vti_SyntexPoweredColumnPrompts.
• Administrators can retrieve and manipulate this specific configuration via the API using the command: Get-PnPPropertyBag -Key "Vti_SyntexPoweredColumnPrompts" -Folder "Shared Documents".48

Quick Win: Stop building complex, custom PowerShell loops for simple site deployments. Create a straightforward CSV file containing target URLs and pipe it directly into a standard ForEach loop within PnP PowerShell. Combine this with the Invoke-PnPSiteTemplate cmdlet to instantly push a standardized folder structure, document processing rules, and necessary metadata columns to 50 departmental sites in under three minutes.

Official Documentation:(https://techcommunity.microsoft.com/blog/spblog/introducing-the-new-sharepoint-page-template-gallery/4444263) |(https://github.com/pnp/powershell)

Licensing Quick Reference

The licensing mechanisms have expanded significantly since the original session, moving far beyond a simple add-on SKU. Microsoft now provides multiple entry points depending on organizational size, processing volume, and overall AI ambition. The 2026 model supports granular pay-as-you-go consumption for testing, dedicated per-user add-ons for heavy processing departments, and a newly announced comprehensive enterprise suite integrating identity, advanced security, and agentic AI governance.

The introduction of the Microsoft 365 E7 Frontier Suite represents the pinnacle of the current licensing structure. It is specifically engineered for organizations transitioning from localized AI experimentation to governed, enterprise-wide execution. By bundling Agent 365 with the core security elements of E5, the suite ensures that all automated document processing and agentic behaviors operate under strict, centralized compliance policies.