A guide on getting started with ECMs

The first step toward ECM: Scanning your documents

Enterprise Content Management systems can seem overwhelmingly complex, we make it simple

Before AI, automation, and intelligent workflows, there’s one critical foundation every SME must establish: complete document digitization. Here’s why scanning is your essential first step toward ECM success.

Why Document Digitization Must Come First

You can't manage, automate, or analyze what doesn't exist digitally. Document scanning creates the essential foundation that makes every other ECM capability possible.

  • Advanced ECM: AI, Automation, Analytics

    Predictive insights, intelligent workflows, automated decision-making

  • Content Management: Organization & Workflow

    Document classification, approval processes, collaboration tools

  • Intelligent Data Capture: Information Extraction

    OCR, data validation, automated indexing, metadata creation

  • FOUNDATION: Document Digitization

    Converting physical documents to digital format through scanning

What Happens If You Skip Digitization

  • Partial ECM Implementation: Only new documents benefit from modern features
  • Dual System Complexity: Managing both digital and paper processes simultaneously
  • Incomplete Automation: Workflows break when they encounter paper documents
  • Limited ROI: ECM benefits only apply to a fraction of your content
  • Compliance Gaps: Mixed systems create audit trails and security vulnerabilities

Benefits of Complete Digitization First

  • Total ECM Capability: Every document can be managed, automated, and analyzed
  • Unified System: Single platform for all content management needs
  • Full Automation Potential: Workflows operate seamlessly across all documents
  • Maximum ROI: ECM benefits apply to 100% of your business content
  • Complete Compliance: Consistent security and audit capabilities across all content

The Business Case: Why SMEs Can't Afford to Wait

Document scanning isn't just about going paperless—it's about creating the foundation for competitive advantage, operational efficiency, and future-ready business processes.

%

reduction in document retrieval time

%

less physical storage space needed

%

improvement in compliance readiness

The Hidden Costs of Staying with Paper

 

1

Time Waste

Employees spend 21% of their day searching for documents or dealing with filing issues

 

2+ hours daily per employee

2

Risk Exposure

Physical documents are vulnerable to loss, damage, theft, and unauthorized access

 

Compliance & security risks

3

Limited Growth

Paper-based processes can’t scale with business growth or support remote work

 

Growth ceiling reached

 

 

 

Modern Document Scanning: Beyond Simple Image Capture

Today’s scanning technology goes far beyond creating digital images. It creates structured, searchable, and intelligent digital assets ready for ECM integration.

The Complete Digitization Process

1. Document Preparation & Sorting

Physical Preparation:

  • Remove staples, paper clips, and bindings
  • Sort documents by type and importance
  • Check for damaged or fragile documents requiring special handling
  • Organize by intended workflow or department

Digital Strategy:

  • Define naming conventions and folder structures
  • Establish quality standards and resolution requirements
  • Plan metadata schemas and indexing systems
  • Set security classification levels

2. High-Resolution Scanning & Image Processing

Scanning Technology:

  • High-speed document scanners (50-200+ pages/minute)
  • Automatic document feeders for bulk processing
  • Multi-format support (various sizes, thicknesses)
  • Color detection and optimization

Image Enhancement:

  • Automatic deskewing and orientation correction
  • Noise reduction and clarity enhancement
  • Blank page removal and multi-page separation
  • Compression optimization for storage efficiency

3. OCR & Intelligent Text Recognition

Text Extraction:

  • Advanced OCR (Optical Character Recognition)
  • Multi-language and font recognition
  • Handwriting recognition capabilities
  • Form field identification and extraction

Data Validation:

  • Accuracy verification and confidence scoring
  • Spell-check and format validation
  • Business rule application (date formats, etc.)
  • Exception handling for manual review

4. Classification, Indexing & Quality Control

Automated Classification:

  • Document type recognition (invoice, contract, etc.)
  • Content-based categorization
  • Metadata extraction and tagging
  • Workflow routing based on document type

Quality Assurance:

  • Image quality verification
  • Text accuracy validation
  • Completeness checking
  • Exception handling and manual review queues

Manual Data Entry vs Intelligent Data Capture

Once your documents are scanned, the next critical decision determines the efficiency and scalability of your entire ECM system: how do you extract and capture data from those digitized documents?

 

Manual Data Entry

Traditional approach with human data input

How It Works:

  • Employees manually type information from scanned documents
  • Data entry clerks transcribe fields into database forms
  • Human verification and quality control processes
  • Manual routing and filing decisions

Typical Costs:

  • Dedicated data entry staff required
  • Ongoing labor costs per document
  • Error correction and quality control overhead
  • Limited processing capacity

Performance:

  • 10-20 documents per hour per person
  • 5-15% error rates depending on complexity
  • Processing delays during busy periods
  • Limited to business hours operation

Intelligent Data Capture

AI-powered automated data extraction

How It Works:

  • AI automatically identifies and extracts key data points
  • Machine learning recognizes document types and structures
  • Intelligent field validation and error correction
  • Automated routing based on content and business rules

Cost Structure:

  • Initial setup and configuration investment
  • Per-document or subscription-based pricing
  • Minimal ongoing human supervision needed
  • Scales automatically with volume increases

Performance:

  • 500-5,000+ documents per hour processing
  • 95-99% accuracy rates with proper training
  • 24/7 operation capability
  • Continuous learning and improvement

Types of Intelligent Data Capture Technology

OCR (Optical Character Recognition)

Converts scanned text into editable, searchable digital text

• Basic text extraction
• Multiple language support
• Handwriting recognition
• Form field identification

ICR (Intelligent Character Recognition)

Advanced AI-powered text recognition with learning capabilities

• Machine learning algorithms
• Contextual understanding
• Improved accuracy over time
• Complex document handling

IDP (Intelligent Document Processing)

Complete AI solution combining multiple technologies

• Document classification
• Data extraction & validation
• Workflow integration
• Exception handling

Ready to Build Your ECM Foundation?

Document scanning and intelligent data capture are the essential first steps toward ECM success. Don't let paper documents hold back your digital transformation - start building your foundation today.