Automated AI Document Accessibility for Financial Statements

Automated Document Accessibility Conversion for Financial Statements

1. Document Collection

1.1 Identify Financial Statements

Gather all relevant financial documents, including balance sheets, income statements, and cash flow statements.

1.2 Centralize Document Storage

Utilize cloud storage solutions such as Google Drive or Dropbox for easy access and organization.

2. AI-Powered Document Analysis

2.1 Implement AI Document Scanning

Use Optical Character Recognition (OCR) tools like Adobe Acrobat Pro or ABBYY FineReader to convert scanned documents into editable formats.

2.2 Analyze Document Structure

Employ AI-driven tools such as Amazon Textract or Microsoft Azure Form Recognizer to identify and categorize sections of financial documents.

3. Accessibility Conversion

3.1 Convert to Accessible Formats

Utilize AI tools like Ally or CommonLook to convert documents into accessible formats, ensuring compliance with WCAG (Web Content Accessibility Guidelines).

3.2 Add Alternative Text and Tags

Incorporate AI-driven solutions that automatically generate alternative text for images and create semantic tags for better navigation.

4. Quality Assurance

4.1 Automated Accessibility Testing

Run automated accessibility tests using tools such as Axe or WAVE to identify any remaining issues in the converted documents.

4.2 Manual Review Process

Engage a team of accessibility experts to conduct a final review of the documents to ensure all standards are met.

5. Distribution and Feedback

5.1 Distribute Accessible Documents

Share the accessible financial statements with stakeholders via secure channels, ensuring that all formats are available.

5.2 Gather User Feedback

Collect feedback from users on document accessibility and usability to inform future improvements.

6. Continuous Improvement

6.1 Monitor Accessibility Compliance

Regularly review and update documents to maintain compliance with evolving accessibility standards.

6.2 Leverage AI for Ongoing Enhancements

Utilize machine learning algorithms to analyze user interactions with documents and continuously refine accessibility features.