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AI-Driven Accessibility Enhancement System for Content Management
  1. case
  2. AI-Driven Accessibility Enhancement System for Content Management

AI-Driven Accessibility Enhancement System for Content Management

clockwork.com
Government

Addressing Accessibility Compliance Gaps in Digital Content

The client faces critical accessibility challenges due to missing alt text descriptions on a large volume of website images, risking legal and ethical compliance. The existing manual process to generate alt text is labor-intensive, taking approximately 260 hours for rework, which is inefficient and unsustainable. They need a fast, efficient, and scalable solution to automate alt text creation and integrate ongoing accessibility updates into their content workflows.

About the Client

A government agency managing a public-facing website with extensive digital content, needing to ensure accessibility and legal compliance.

Project Goals for Accessibility Automation and Content Workflow Optimization

  • Automatically generate accurate alt text descriptions for over 7,800 images, eliminating manual effort.
  • Save approximately 260 hours of manual correction time, enhancing operational efficiency.
  • Implement a streamlined automation workflow capable of handling future content uploads without manual intervention.
  • Improve overall website accessibility scores to meet legal, ethical, and compliance standards.
  • Create a scalable solution that enhances content management processes and future-proof accessibility efforts.
  • Encourage the organization’s ongoing adoption of AI-driven content enhancement technologies.

Core Functional Capabilities for Automated Accessibility Content Management

  • Integration with the existing content management platform via specialized plugins to facilitate automatic alt text creation.
  • Use of third-party AI services to generate initial alt text descriptions for images.
  • Incorporation of custom contextual instructions via AI models (e.g., ChatGPT) to tailor descriptions to the organization's specific content style and requirements.
  • Automated workflow that triggers alt text generation upon image upload, ensuring immediate accessibility updates.
  • A management interface for review and manual editing of AI-generated descriptions, if necessary.
  • Logging and reporting features to track alt text generation and accuracy metrics.

Technology Preferences and System Architecture for Accessibility Automation

AI-powered content generation APIs
Content management system compatible with plugins (e.g., similar to CraftCMS)
ChatGPT or equivalent language models for contextual description enhancement
Automated workflow tools and scripting for process automation

External Systems and Tools Integration Needs

  • Content Management System (CMS) for real-time deployment of alt text updates
  • Third-party AI services for image captioning
  • Custom AI instruction modules (e.g., ChatGPT) for contextual descriptor enhancement
  • Content upload workflows to trigger automation

Performance, Security, and Scalability Requirements for the Accessibility System

  • System must generate alt text descriptions within seconds of image upload to ensure efficiency.
  • Automation workflow should handle large volumes of images seamlessly, supporting growth beyond 7,800 images.
  • Data privacy and security standards must be maintained, especially when integrating third-party AI services.
  • System should be easy to maintain and update, with minimal manual intervention.
  • High availability and reliability to prevent accessibility gaps.

Expected Business Benefits and Impact of Automated Accessibility Solutions

By implementing an AI-driven automation system for alt text generation, the organization aims to significantly reduce manual effort, saving approximately 260 hours of staff time. The solution will ensure continuous compliance with accessibility standards for current and future content, enhance user experience for all visitors, and demonstrate a commitment to ethical digital practices. Additionally, this foundational automation sets the stage for broader AI integration in content creation and management workflows, fostering innovation and operational efficiency.

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