Metadata Automation Capabilities
Comprehensive solutions for intelligent document classification and metadata management.
AI-Powered Classification
Automatically classify documents using machine learning models trained on your content types and taxonomy.
Automated Tagging
Extract and apply metadata tags based on document content, reducing manual tagging effort by 90%.
Taxonomy Management
Design and implement managed metadata services with term stores, content types, and site columns.
Enhanced Findability
Improve search relevance and discovery through consistent, comprehensive metadata application.
Compliance & Retention
Automatically apply retention labels and sensitivity labels based on document classification.
Metadata Analytics
Monitor metadata quality, coverage, and usage patterns to continuously improve your information architecture.
The Cost of Poor Metadata
Knowledge workers spend an average of 2.5 hours per day searching for information. Poor document organization leads to duplicated effort, compliance failures, and frustrated employees.
- 1Lost Productivity
Employees recreate documents they cannot find, wasting time and creating version conflicts.
- 2Compliance Risk
Sensitive documents without proper classification may be exposed or retained incorrectly.
- 3Knowledge Loss
Critical institutional knowledge becomes buried and inaccessible as employees leave.
Technologies We Use
Key Benefits
- 90% reduction in manual tagging effort
- 50% improvement in document findability
- Automated compliance and retention
- Consistent metadata across all content
Common Use Cases
See how organizations are using metadata automation to transform their document management.
Contract Management
Automatically extract contract type, parties, dates, and key terms from legal documents.
- Faster contract retrieval
- Automated expiration alerts
- Compliance tracking
Invoice Processing
Extract vendor, amount, dates, and line items from invoices for automated processing.
- 90% reduction in manual entry
- Faster approvals
- Audit trail
HR Document Management
Classify employee documents, extract key data, and enforce retention policies.
- Organized employee files
- Compliance automation
- Self-service access
Project Documentation
Tag documents by project, phase, deliverable type, and stakeholders for easy retrieval.
- Project-based views
- Cross-project search
- Knowledge retention
Our Process
A structured approach to implementing metadata automation in your organization.
Taxonomy Design
We work with your team to design a metadata schema that reflects your business structure and information needs.
Content Analysis
Analyze existing document repositories to understand content patterns and classification requirements.
Model Training
Train AI models on your document types using Microsoft Syntex or custom classification models.
Implementation
Deploy the solution with automated processing pipelines and user-friendly tagging interfaces.
Optimization
Monitor accuracy, refine models, and expand coverage based on real-world performance.