Complete Guide to SharePoint Premium AI Content Management in 2026

Content chaos is one of the most persistent productivity killers in modern organisations. Documents scattered across email inboxes, team drives, and unstructured libraries cost companies thousands of hours every year in search, duplication, and compliance risk. SharePoint Premium AI content management is Microsoft's decisive answer to this problem and in 2026, it has matured into a full-stack intelligent content platform that every forward-thinking enterprise should understand.

Whether you are planning a fresh deployment, extending an existing SharePoint Online Intranet, or modernising a legacy On-Premises Intranet, this guide walks you through every layer of SharePoint Premium from core AI capabilities to governance frameworks, Power BI dashboards, Microsoft Viva integrations, and a step-by-step rollout plan that works in the real world.

What Is SharePoint Premium AI Content Management?

SharePoint Premium (formerly known as Microsoft Syntex) is an advanced add-on to Microsoft 365 and SharePoint Online that uses artificial intelligence to automate content understanding, classification, metadata tagging, eSignature workflows, and compliance at scale. It is not a separate product you deploy from scratch it layers directly on top of your existing SharePoint environment, making it relatively straightforward to adopt without disrupting what already works.

At its core, SharePoint Premium AI content management does three things:

• Read your documents: AI models trained on your content automatically extract key information such as invoice numbers, contract dates, supplier names, or policy clauses.

• Labels and routes your content: Based on what it reads, the platform applies retention labels, sensitivity labels, metadata columns, and triggers Power Automate workflows automatically.

• Surfaces insights: Integrated Power BI dashboards and Microsoft Viva analytics turn raw content activity into actionable intelligence for leaders and teams.

Quick Fact

• SharePoint is used by more than 250 million people worldwide as of 2025.

• Microsoft reports that organisations using AI-driven content management reduce manual document processing time by up to 70%.

• SharePoint Premium is licensed per user per month as a Microsoft 365 add-on making incremental adoption financially feasible.

The Problem & Stakes: What Happens Without AI Content Management?

Before evaluating solutions, it is worth being precise about the business pain. Organisations without structured AI content management typically experience the following:

1. Unstructured Content Sprawl

Employees save files wherever is most convenient for them, not where it is most useful for the organisation. SharePoint libraries fill up with meaninglessly named folders and undiscoverable documents. Version conflicts become routine. New employees spend their first weeks hunting for the right document.

2. Compliance and Legal Exposure

Regulations such as GDPR, ISO 27001, UAE's PDPL, and industry-specific frameworks require organisations to know exactly where sensitive data lives, how long it is retained, and who has accessed it. Without SharePoint Document Management practices backed by AI classification, this kind of audit readiness is nearly impossible to maintain at scale.

3. Lost Productivity at the Search Layer

Microsoft research consistently shows knowledge workers spend 20% or more of their working week searching for information. AI-powered search, auto-tagging, and structured metadata eliminate most of this friction.

4. Disconnected Tooling

Teams frequently operate in silosusing Teams for chat, SharePoint for files, and entirely separate LoB applications for CRM, HR, or finance. Without deliberate SharePoint Migration Integration strategy, these islands of data never communicate effectively.

5. Missed ROI on Microsoft 365 Licences

Most organisations pay for Microsoft 365 but use only a fraction of its capabilities. SharePoint Premium activates a set of capabilities, including content AI, eSignature, records management, and advanced search, that turn passive storage costs into active productivity gains.

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6 Key Concepts: The Building Blocks of SharePoint Premium AI Content Management

Here are the key concepts that serve as the building blocks of SharePoint Premium AI Content Management, enabling businesses to streamline their content processes and leverage advanced AI-driven features for enhanced performance.

1. Content AI Models

At the heart of SharePoint Premium are AI document processing models. These fall into two main categories:

• Unstructured document processing: Trains on freeform documents like contracts, reports, and emails. Uses layout and language understanding to extract named entities and classify document types.

• Structured and semi-structured document processing: Optimised for forms, invoices, purchase orders, and any document with a defined layout. Combines Azure Form Recogniser technology with SharePoint's content pipeline.

These models are trained directly in the SharePoint admin centre by a content centre site. You can build models without writing any code making them accessible to SharePoint Advanced Features practitioners who are not professional developers.

2. Content Centre and Model Deployment

A Content Centre is a special type of SharePoint site that acts as the hub for your AI models. From here, administrators train models on example files, test their accuracy, and deploy them to any document library across your tenant. Once deployed, every new document uploaded to a targeted library is automatically processed no manual tagging required.

3. Microsoft Viva Integration

Microsoft Viva is Microsoft's employee experience platform, comprising Viva Connections, Viva Insights, Viva Topics, Viva Learning, and Viva Engage. When combined with SharePoint Premium, Viva becomes considerably more powerful:

• Viva Topics: Automatically surfaces "topic cards" within Teams, SharePoint pages, and Outlook based on the AI-identified entities in your documents. Employees see contextual knowledge panels about projects, people, or terms without having to search for them.

• Viva Connections: Delivers a personalised intranet dashboard in Microsoft Teams, pulling in SharePoint news, tasks, and AI-curated content in a mobile-friendly interface.

• Viva Insights: Analyses collaboration patterns and surfaces productivity data, which combines powerfully with SharePoint content analytics to show leaders how knowledge flows through the organisation.

A well-executed Viva integration strategy means employees no longer need to actively navigate SharePoint relevant content comes to them in context, embedded in the tools they already use daily.

4. Power BI Integration

Power BI integration with SharePoint Premium enables organisations to turn content metadata into visual dashboards. Because SharePoint Premium automatically applies consistent, structured metadata at scale, there is finally reliable data to report on. Common use cases include:

• Document processing pipeline performance volumes, classification accuracy, error rates

• Compliance posture dashboards showing which libraries are fully tagged, which are at risk, and upcoming retention deadlines

• Search and content usage analytics identifying which documents are viewed, shared, or ignored

• eSignature and approval workflow status tracking

Power BI reports can be embedded directly into SharePoint pages using the Power BI web part, creating a unified intelligence layer within your intranet rather than requiring separate navigation them.

5. Custom Apps on SharePoint Premium

One of the less-discussed but strategically significant SharePoint Advanced Features is the ability to build custom apps that consume SharePoint Premium outputs via Microsoft Graph API. This means developers can build purpose-built applications supplier portals, client onboarding tools, contract lifecycle management systems that are powered by AI-extracted metadata without requiring end users to interact with SharePoint directly.

This connects directly to the scope of Custom Portals development, where bespoke document portals can surface SharePoint Premium's AI-tagged content in a polished, role-appropriate interface.

6. Records Management and Compliance

SharePoint Premium includes a sophisticated records management layer that allows organisations to apply retention schedules automatically based on content type. A contract document, for instance, can be automatically labelled as a record upon classification, triggering a seven-year retention policy, restricting editing, and scheduling its disposition review all without a single manual action by the compliance team.

Step-by-Step Approach: Implementing SharePoint Premium AI Content Management

A successful SharePoint Premium deployment is not a single go-live event it is a phased programme. The following approach is informed by real-world implementations across enterprises of varying sizes. Before beginning, ensure you have a solid SharePoint Strategy in place.

Phase 1: Discovery and Content Audit (Weeks 1–4)

• Inventory all existing SharePoint sites, libraries, and file shares to understand the scope of unstructured content.

• Identify the top five to ten content types that drive the most business value or compliance risk contracts, invoices, HR records, and policy documents are common starting points.

• Interview departmental stakeholders to understand how they currently create, name, store, and retrieve documents.

• Map content types to planned AI model categories: unstructured, structured, or freeform.

• Assess existing metadata schema and taxonomy, noting gaps and inconsistencies.

Phase 2: Architecture and Governance Design (Weeks 3–6)

• Design the target SharePoint Online Intranet architecture hub sites, communication sites, and team sites aligning the structure to your content taxonomy.

• Establish the Content Centre site and define model ownership roles: who trains models, who approves them, and who reviews accuracy over time.

• Draft a governance framework covering naming conventions, library structure, retention schedules, and permissions. See the SharePoint Strategy service for detailed governance design support.

• Define sensitivity labels and their automatic application rules, aligned to your information security policy.

Phase 3: Model Training and Pilot (Weeks 5–10)

• Gather a representative sample of documents for each content type aim for at least 20 positive examples and 10 negative examples per model.

• Train AI models in the Content Centre, reviewing extraction accuracy on the example set.

• Iteratively refine models by adding additional training examples until accuracy targets are met typically 85% or above for production deployment.

• Deploy models to a pilot library and run them against a controlled subset of real documents.

• Engage pilot users typically a single department to validate that the AI-extracted metadata is accurate and useful in their workflows.

Phase 4: Power BI and Viva Integration (Weeks 8–14)

• Connect SharePoint list data and content metadata to Power BI via the SharePoint Online connector in Power BI Desktop.

• Build compliance posture and processing pipeline dashboards. Embed these into SharePoint communication pages using the Power BI web part.

• Configure Viva Topics to draw topic discovery from your AI-tagged SharePoint libraries, enabling automatic knowledge surface in Teams and Outlook.

• Set up Viva Connections with a customised dashboard that surfaces relevant SharePoint news, document tasks, and approval queues for different employee personas.

Phase 5: Custom App Development (Weeks 12–20, where applicable)

• For organisations requiring purpose-built portals, engage SharePoint Customization specialists to design and develop custom apps that consume AI-tagged content via Microsoft Graph.

• Build role-based views for example, a supplier invoice portal where vendors can submit documents that are automatically classified, extracted, and routed to the appropriate approval workflow.

• Implement Power Apps or custom SPFx web parts to expose AI-generated metadata in user-friendly forms within SharePoint pages.

Phase 6: Organisation-Wide Rollout (Weeks 16–24)

• Develop a change management and training programme tailored to each employee persona. Leverage SharePoint Support Optimization to ensure adoption is sustained beyond the initial go-live.

• Roll out model deployments library by library, prioritising high-volume or high-risk content areas first.

• Activate eSignature workflows for contract and approval documents.

• Monitor AI model performance weekly in the first month, then monthly retraining models as document templates or business processes change.

• Run quarterly governance reviews to assess metadata hygiene, retention schedule compliance, and model accuracy drift.

Tools and Technology Choices

A modern SharePoint Premium implementation draws on a connected ecosystem of Microsoft and third-party tools. Understanding where each fits helps organisations make informed investment decisions.

Core Technology Stack

• SharePoint Premium (Microsoft Syntex) AI content models, eSignature, records management

• Microsoft 365 SharePoint Online, Teams, Outlook, Power Automate, Power Apps

• Azure AI Services Form Recogniser, Text Analytics (underlying SharePoint Premium models)

• Microsoft Viva Topics, Viva Connections, Viva Insights, Viva Engage

• Power BI Embedded dashboards, compliance analytics, content usage reporting

• Microsoft Graph API Custom app integration and metadata consumption

• SharePoint Framework (SPFx) Custom web parts and extensions

• Power Automate Workflow automation triggered by AI classification events

Microsoft Syntex vs Native SharePoint Features

It is worth clarifying the distinction between what SharePoint Online provides natively versus what requires a SharePoint Premium add-on licence:

When to Use Power Apps vs Custom SPFx Solutions?

For simple form-based interfaces embedded in SharePoint pages, Power Apps offer a faster, lower-cost path that requires no professional development. For complex, pixel-perfect user experiences especially Custom Portals with advanced interactivity SharePoint Framework (SPFx) solutions developed by a specialist team deliver superior results. The choice often comes down to your required performance, branding fidelity, and the complexity of the data model.

Governance and Security: Making AI Content Management Sustainable

AI without governance creates a new category of risk. SharePoint Premium's power to auto-classify and auto-label content at scale means that a misconfigured model can propagate errors across thousands of documents instantly. Robust SharePoint Strategy must address the following governance dimensions.

Information Architecture Governance

• Establish a formal taxonomy management process who owns content types, columns, and term store terms, and how changes are approved and communicated.

• Version-control your AI model definitions and maintain a model registry documenting each model's training data, accuracy metrics, deployment scope, and last review date.

• Set clear ownership for each document library a named content owner accountable for the quality of AI-tagged content in their area.

Security and Permissions

SharePoint Premium does not bypass SharePoint's permissions model AI models process documents at the service level and respect existing library permissions when writing metadata. However, organisations should review their SharePoint Customization approach to ensure that:

• Sensitivity labels are applied consistently and that downstream services (Teams, OneDrive, Exchange) honour those labels.

• AI model training data does not include documents containing personally identifiable information unless that is explicitly the intent of the model and appropriate data handling agreements are in place.

• Custom apps consuming Microsoft Graph have appropriately scoped API permissions preferring delegated permissions over application permissions wherever possible.

• Role-based access control is reviewed whenever a new model is deployed to a library, as AI-surfaced metadata can reveal information that was previously obscured by poor organisation.

Retention and Records Management

• Map every AI-classified content type to a formal retention schedule defined in Microsoft Purview (formerly Microsoft Compliance).

• Configure disposition reviews for record-designated content types to ensure a human reviews documents before permanent deletion.

• Test retention label application end-to-end create a test document, confirm classification, confirm label application, confirm that the document cannot be edited or deleted during its retention period.

• For organisations subject to UAE PDPL, GDPR, or sector-specific regulations, engage legal counsel to validate retention schedules before production deployment.

AI Model Quality Governance

AI models degrade over time as document formats, business terminology, and regulatory requirements change. Establish a model review cadence:

• Monthly: Review classification accuracy metrics in the Content Centre for each deployed model. Flag models with accuracy below 80% for retraining.

• Quarterly: Review model coverage are there new document types appearing in libraries that have no model? Are there document volumes that suggest a new model would be valuable?

• Annually: Full model audit, including review of training data, accuracy benchmarks, and alignment with any changes to the organisation's taxonomy or regulatory requirements.

KPIs and Rollout Metrics: Measuring Success

Defining success metrics before rollout is essential. Your SharePoint Support Optimization programme should establish baseline measurements prior to go-live and track the following KPIs at regular intervals:

Content Quality KPIs

• Metadata completeness rate: Percentage of documents in targeted libraries with all required metadata fields populated. Target: 90% or above within 60 days of model deployment.

• Classification accuracy rate: Percentage of documents correctly classified by AI models as validated by human review sampling. Target: 85% or above at launch, 92% or above after first retraining cycle.

• Orphaned document rate: Percentage of documents with no content type classification. Target: below 5% in governed libraries.

Productivity KPIs

• Document retrieval time: Average time for an employee to locate a specific document type. Establish a baseline in the Discovery phase; target 40–60% reduction post-deployment.

• Manual tagging hours eliminated: Hours per week previously spent on manual document classification and tagging. This is one of the clearest direct ROI metrics for SharePoint Premium.

• Workflow cycle time: For AI-triggered workflows such as invoice approval or contract signature, measure average cycle time before and after automation.

Compliance KPIs

• Retention label coverage: Percentage of content in scope for records management that has a retention label applied. Target: 100% in regulated content areas.

• Sensitivity label coverage: Percentage of documents containing classified information that carry the correct sensitivity label.

• Disposition review completion rate: Percentage of disposition reviews completed on time versus expired. Target: 95% or above.

Adoption KPIs

• Active users on AI-enabled libraries: Number and percentage of targeted users actively uploading to AI-governed libraries.

• Viva Topics engagement: Number of topic page views and confirmations an indicator of whether AI-surfaced knowledge is being trusted and acted upon.

• Power BI dashboard consumption: Number of unique viewers and report opens for embedded SharePoint analytics dashboards.

Rollout Governance Checklist

• Baseline KPIs measured and documented before any model deployment

• Pilot user group identified and briefed on AI tagging objectives

• Model accuracy validated above 85% before library-wide deployment

• Sensitivity label policies reviewed and signed off by Information Security

• Retention schedule validated by Legal or Compliance team

• Power BI dashboards reviewed by business sponsors

• User training delivered both for content contributors and content owners

• Helpdesk team briefed on SharePoint Premium features and common questions

• Post-go-live 30-day review scheduled

On-Premises vs. SharePoint Online: What Changes for AI Content Management?

SharePoint Premium is a cloud-first capability it is available only for SharePoint Online tenants. Organisations still running On-Premises Intranet environments on SharePoint Server 2016, 2019, or Subscription Edition cannot access SharePoint Premium AI models natively.

However, there are paths forward:

• Hybrid deployment: SharePoint Hybrid configurations allow on-premises content to be surfaced in SharePoint Online search, and selective workloads can be migrated to the cloud while sensitive data remains on-premises.

• Phased migration: Many organisations use SharePoint Premium as the primary driver for accelerating their migration from on-premises to SharePoint Online, capturing the AI content management benefits as a direct return on the migration investment.

• Content migration services: A structured migration programme using tools such as SharePoint Migration Tool (SPMT), Sharegate, or Metalogix can move on-premises content to SharePoint Online while applying content type mapping that feeds directly into Premium model deployment.

If your organisation is on-premises and evaluating the path to cloud AI content management, start with a SharePoint Strategy engagement to map out a migration roadmap aligned to your compliance, security, and business continuity requirements.

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Microsoft Viva Integrations: Bringing AI Content to the Surface

The real value of Viva integrations in the context of SharePoint Premium is that they move AI-generated insights from the infrastructure layer into the employee experience layer. Here is how each Viva component interacts with SharePoint Premium AI content management:

Viva Topics and the AI Knowledge Graph

Viva Topics uses the same natural language processing and entity extraction capabilities that underpin SharePoint Premium document models to automatically build a knowledge graph of your organisation. Topic pages are auto-generated for frequently occurring entities project codenames, client names, technical terms, product lines and linked to relevant documents, people, and conversations across Microsoft 365.

When SharePoint Premium is tagging documents with consistent metadata, Viva Topics has richer, higher-confidence signals to work with. The combination results in more accurate topic discovery and fewer false-positive topic suggestions that need to be rejected by knowledge managers.

Viva Connections Dashboard

The SharePoint Online Intranet serves as the content backbone for Viva Connections. Organisations can create personalised Viva Connections dashboards in Teams that surface SharePoint news articles, AI-tagged document notifications, pending approvals, and Power BI report tiles all in a single, mobile-ready pane of glass.

This is particularly powerful for frontline worker scenarios, where employees on the shop floor or in the field can access the same SharePoint Premium-managed content and workflows through a mobile Teams experience without needing to navigate complex SharePoint site structures.

Viva Insights and Content Analytics

While Viva Insights primarily focuses on collaboration patterns and wellbeing metrics, its data can be correlated with SharePoint content analytics to surface insights such as whether teams that share documents more effectively have different meeting and collaboration patterns. This kind of cross-platform analytics is a frontier use case that forward-looking analytics teams are beginning to explore with Power BI as the visualisation layer.

Custom Apps and SharePoint Premium: Building on the AI Foundation

For many organisations, the highest-value use of SharePoint Premium AI content management is not within SharePoint itself it is in the Custom Portals and purpose-built applications that sit on top of it. Here are three illustrative scenarios:

Scenario 1: Supplier Invoice Processing Portal

A procurement team receives thousands of invoices monthly in PDF format from hundreds of suppliers. Before SharePoint Premium, staff manually opened each invoice, typed metadata into an ERP system, and filed the PDF in a SharePoint library. With SharePoint Premium, a structured document processing model extracts invoice number, vendor name, line items, VAT amount, and due date automatically upon upload. A custom Power Apps portal shows accounts payable staff a clean, validated view of extracted data flagging anomalies for human review and passing clean records directly to the ERP via Power Automate.

Scenario 2: Legal Contract Repository

A legal team needs to manage thousands of NDAs, supplier agreements, and employment contracts, each with different renewal dates, parties, and governing law clauses. A SharePoint Document Management model extracts these fields automatically at upload. A custom SPFx dashboard embedded in a SharePoint legal hub site shows a calendar of upcoming renewals, a map of counterparties, and a compliance health score by contract category all powered by AI-tagged SharePoint metadata surfaced through Power BI.

Scenario 3: HR Policy Distribution Portal

HR teams need to ensure every employee has acknowledged the current version of key policies. A SharePoint Customization solution uses SharePoint Premium content assembly to generate personalised policy documents for different employee groups. Acknowledgement status is tracked via a SharePoint list and visualised in a Power BI compliance dashboard embedded in the HR intranet site, with Viva Connections delivering policy update notifications directly in Teams.

Common Pitfalls and How to Avoid Them?

• Training models on too few examples: Fewer than 15 documents per class will produce unreliable models. Invest time in gathering a diverse, representative training set before deployment.

• Deploying to all libraries simultaneously: A phased, library-by-library rollout allows you to catch and correct model errors before they propagate across the tenant.

• Ignoring the change management dimension: Employees who do not understand why documents are being automatically tagged will work around the system. Clear communication about the benefits not the technology drives adoption.

• Neglecting sensitivity label alignment: If your sensitivity label taxonomy in Microsoft Purview does not match your SharePoint Premium content type taxonomy, automatic label application will create inconsistencies.

• Skipping Power BI from the start: The absence of dashboards makes it impossible to demonstrate ROI to business sponsors. Build basic compliance and processing dashboards from week one of production deployment.

• Underestimating the on-premises impact: If part of your content estate remains on-premises, AI models will not process that content. A hybrid strategy must account for this gap explicitly.

How Centric Helps You Implement SharePoint Premium AI Content Management?

Centric is a Microsoft partner specialising in SharePoint Consulting services across the full lifecycle from strategy and architecture through to custom development, migration, and ongoing support. Our SharePoint Premium practice covers:

• SharePoint Strategy Roadmap design, governance framework, taxonomy planning, and ROI modelling for SharePoint Premium deployments.

• SharePoint Online Intranet Cloud-first intranet design optimised for SharePoint Premium model deployment and Viva integration.

• On-Premises Intranet Assessment and migration planning for organisations moving from SharePoint Server to SharePoint Online to enable AI content management.

• Custom Portals Purpose-built document portals and business applications powered by SharePoint Premium AI metadata.

• SharePoint Customization SPFx web parts, Power Apps, and Microsoft Graph integrations that surface AI content management capabilities in bespoke user experiences.

• SharePoint Document Management End-to-end document lifecycle design including content types, retention schedules, and AI model deployment.

• SharePoint Support Optimization ongoing managed service covering AI model retraining, performance monitoring, governance reviews, and user adoption programmes.

• SharePoint Migration Integration Structured migration from on-premises or third-party platforms to SharePoint Online, with SharePoint Premium activation as part of the migration outcome.

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Frequently Asked Questions

What is the difference between SharePoint Premium and Microsoft Syntex?

Microsoft rebranded Microsoft Syntex as SharePoint Premium in 2023. The products are the same SharePoint Premium is simply the current commercial name for the full suite of AI content management capabilities formerly branded as Syntex.

Do I need SharePoint Premium to use Power BI with SharePoint?

No. Power BI can connect to any SharePoint list or library via the standard SharePoint Online connector. However, SharePoint Premium dramatically increases the value of those Power BI reports by ensuring that content metadata is consistently and accurately populated through AI, giving you reliable data to report on.

Can SharePoint Premium AI models process documents in Arabic or other non-English languages?

Yes. SharePoint Premium's AI models support a growing range of languages including Arabic, French, Spanish, German, and others. For organisations in the UAE and broader Middle East, Arabic language support is a key factor in model selection and training, and it is advisable to test language-specific accuracy carefully during the pilot phase.

How long does it take to train a SharePoint Premium AI model?

Training a basic unstructured document processing model typically takes between two and four weeks from gathering training examples to validated production deployment, assuming a skilled SharePoint practitioner is leading the effort. More complex scenarios with multiple content types or strict accuracy requirements may take six to ten weeks.

Is SharePoint Premium suitable for small and medium-sized businesses?

SharePoint Premium is available to any Microsoft 365 subscriber, but its cost-benefit profile is most favourable for organisations processing high volumes of documents or operating in regulated industries. Small businesses with low document volumes may find that native SharePoint with well-designed SharePoint Document Management practices is sufficient for their needs.

What Microsoft Viva licences are needed alongside SharePoint Premium?

Viva Topics, Viva Connections, and Viva Insights each have their own licensing requirements within the Microsoft Viva suite. Viva Connections is available to all Microsoft 365 commercial customers at no additional cost. Viva Topics and Viva Insights require dedicated Viva licences or the Microsoft Viva Suite bundle. Consult your Microsoft licensing partner for current pricing and bundle options.

Conclusion

SharePoint Premium AI content management is not a speculative future technology; it is a production-ready, enterprise-grade capability available to any Microsoft 365 subscriber today. The organisations that invest in structured implementation now will have a significant and durable advantage: a content estate that understands itself, governs itself, and surfaces the right knowledge to the right people at the right moment.

The path forward requires deliberate planning, phased execution, and a governance discipline that matches the power of the AI layer. With the right SharePoint Strategy, a well-designed SharePoint Online Intranet, and expert SharePoint Customization support, your organisation can move from content chaos to content intelligence and realise the full return on your Microsoft 365 investment.

If you are ready to explore what SharePoint Premium AI content management could do for your organisation, contact the Centric SharePoint Consulting team to begin with a discovery engagement tailored to your content landscape and business objectives.