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The Ultimate Guide to Metadata in SharePoint – AI-Powered Metadata in SharePoint

  • Writer: Aakash Rahsi
    Aakash Rahsi
  • Feb 9
  • 4 min read

AI-Powered Metadata in SharePoint
AI-Powered Metadata in SharePoint

The Metadata Crisis: Real-World Problems That Are Killing Business Productivity | AI-Powered Metadata in SharePoint

AI-Powered Metadata in SharePoint: You’re running a million-dollar project, and your CEO asks for an important contract right now.

Your team dives into SharePoint, but it’s lost in a folder maze. The search function doesn’t help because it’s not tagged properly. Minutes turn into hours, productivity drops and you look incompetent. If this happens with compliance documents, you’re looking at million-dollar fines.

The truth?

 Companies are losing millions in inefficiencies because of broken SharePoint structures.

 Compliance violations are skyrocketing due to poor document governance.

 Employees waste 30% of their workday searching for files instead of working.

The AI-Powered Metadata Solution: How We Fix This Forever

  • What if SharePoint was smart enough to organize itself?

  • What if metadata applied itself the moment a file was uploaded?

  • What if approvals, compliance, and security happened automatically without IT intervention?

THIS is the future of SharePoint. And we’re building it now.

How? With the 3 Pillars of AI-Powered Metadata:

Pillar

What It Fixes

The AI-Powered Solution

1. Automated Metadata Tagging

Users forget to tag files → Broken search & compliance

AI reads documents & applies metadata instantly

2. Smart Search & Retrieval

Employees waste hours looking for documents

Metadata-driven KQL search retrieves files in seconds

3. Metadata-Based Workflows

Approvals, retention, and compliance take weeks

Power Automate triggers actions based on metadata

Let’s break it down and implement it.

Pillar 1: AI-Driven Metadata Tagging (No More Manual Work!)

The Problem:

  • Users never tag files correctly → Messy SharePoint.

  • Manually applying metadata takes time → Leads to incomplete information.

  • Compliance teams can’t track documents → Risk of legal fines.

The Solution: Self-Tagging AI Models (SharePoint Syntex + Power Automate)

Trained AI to read documents, extract keywords & apply metadata in real-time.

Implementation – How to Make AI Tag Files Automatically

Enable SharePoint Syntex (Microsoft 365 Admin Center)

Train an AI model to recognize document types (e.g., Invoices, HR Contracts)

Use Power Automate to apply metadata based on AI’s extracted keywords

Example Power Automate Flow – AI Metadata Tagging

Trigger: When a file is uploaded to SharePoint Action

1: Send file content to AI Builder for analysis Action

2: Extract document type, keywords, and author Action

3: Auto-apply extracted values to metadata fields

Business Impact of AI Metadata Tagging:

Saves 200+ work hours per month on document organization

✔ Improves search accuracy by 90%

100% compliance enforcement with auto-tagging

Pillar 2: Metadata-Driven Smart Search (Find Anything in Seconds)

The Problem:

  • Employees search with wrong keywords, leading to wasted time.

  • SharePoint’s default search lacks intelligence → It’s not metadata-aware.

  • Without proper search refiners, files are buried in an ocean of data.

The Solution: Advanced AI-Powered Metadata Search

Instead of folders, we let AI + metadata power our search.

Implementation – Setting Up a Metadata-Based Search Engine

✔ Enable metadata refiners in SharePoint Search Schema

✔ Create a Smart Search Bar that filters results using metadata

✔ Use Keyword Query Language (KQL) to allow structured searching

Example KQL Search Query – Finding All Approved Invoices

(ContentType:Invoice) AND (ApprovalStatus:Approved)

Business Impact of Metadata-Driven Search:

✔ Search times reduced by 85%

✔ Files retrieved in seconds, no folder clicking required

✔ Users find information 10x faster, improving overall productivity

Pillar 3: Metadata-Based Workflows (No More Waiting for Approvals)

The Problem:

  • Document approvals take days because they rely on emails.

  • HR, Finance, and IT teams manually check compliance, delaying processes.

  • No automation → High operational costs and inefficiencies.

The Solution: Metadata-Driven Automations with Power Automate

Metadata will now trigger actions in SharePoint AUTOMATICALLY.

Implementation – Auto-Approvals Based on Metadata

Trigger: When a document’s Approval Status is changed to "Pending"

Action: Send an adaptive card to Microsoft Teams for approval

Action: If approved, move file to Finalized folder and update metadata

Example Power Automate Workflow – Metadata-Driven Approvals


Trigger: If metadata "Approval Status" = "Pending" Action

1: Send Teams notification to Manager Action

2: Create an Adaptive Card for instant approval Action

3: If approved, update metadata "Status" to "Approved"

Business Impact of Metadata-Driven Automation:

Approval time reduced from 3 days to 10 minutes

100% elimination of manual compliance tracking

Automated retention ensures legal & security compliance

Case Study: How a Fortune 500 Company Saved $8M With Metadata-Driven SharePoint

The Challenge:

  • Employees wasted 30% of their time searching for files

  • Compliance failures led to $500,000 in regulatory fines

  • Manual approvals delayed business deals by 2+ weeks

The Metadata-Based Transformation:

Actions:

✔ Implemented AI-based metadata tagging

✔ Replaced folders with metadata-powered smart search

✔ Automated approvals, retention, and security using Power Automate

Results (After 6 Months):

✔ Approval times dropped from 2 weeks to 2 hours

✔ Compliance violations reduced to ZERO

✔ Productivity increased by 30%, saving 50,000+ work hours per year

Overall, the company saved over $8 MILLION in operational costs

Final Call to Action – Why You Need This NOW

AI-powered metadata automation isn’t a luxury but a necessity to ensure secure and healthy ecosystem.

If your business still uses folders, manual tagging & workflows. Let’s work together and make this easier and efficient.






Disclaimer:

The scripts provided in this article have been thoroughly tested and are recommended as solutions to address the discussed technical challenges. However, they are intended solely for educational & informational purposes. While every effort has been made to ensure their accuracy and reliability, Aakash Rahsi and aakashrahsi.online are not responsible for any issues, damages, or unintended consequences that may arise from their use. These scripts are shared with the intention of helping users understand and solve technical challenges. It is the user’s responsibility to test and adapt these scripts in a secure environment before applying them to any production system.

For permissions, collaboration inquiries, or technical support, contact: info@aakashrahsi.online

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