.github/workflows/accessibility.yml

Building WCAG 2.2 Compliant AI HR Tools: A Blueprint

Designing AI-driven HR tools that meet accessibility standards, EU AI Act requirements, and UK Online Safety Act obligations is crucial for modern organizations. In this article, we explore a practical blueprint for achieving compliance while delivering scalable, high-performance solutions.

The Importance of WCAG 2.2 for AI HR Tools

WCAG 2.2 introduces new success criteria focusing on cognitive accessibility, touch-target spacing, and consistent help. For AI-powered HR platforms, key criteria include:

Visible keyboard focus in enhanced mode for resume upload wizards

Drag-and-drop functionality without reliance on visual CAPTCHAs

Auto-fill of candidate data without forced re-entry

Meeting these criteria not only ensures legal compliance but also expands the addressable market, as over 1 billion people worldwide have some form of disability.

Mapping EU AI Act & UK Online Safety Act to HR AI

The EU AI Act classifies recruitment, hiring, and employment decision-making AI systems as high-risk. Compliance requirements include:

Risk management system

Data governance with representative, bias-free training data

Technical documentation outlining architecture and monitoring

Human oversight capabilities

Transparency about AI workings and limitations

The UK Online Safety Act imposes a duty of care on providers of user-to-user services, requiring proactive content moderation, accessible reporting mechanisms, and transparent appeal processes.

Architectural Blueprint: Serverless Microservices on AWS

The recommended architecture employs serverless microservices on AWS, providing scalability, observability, and ease of compliance evidence gathering. Key components include:

API Gateway for secure entry points and throttling

AWS Lambda for business logic, isolating high-risk processing

DynamoDB for semi-structured storage with immutable audit trails

S3 with Object Lock for raw resume files and model artifacts

Step Functions for multi-stage workflow orchestration

CloudFront + S3 static site hosting with WCAG-compliant assets

Real-time logging with Kinesis Data Firehose and Athena for monitoring

All resources are provisioned via AWS CDK (TypeScript), enabling infrastructure as code that can be version-controlled and reviewed for drift.

Compliance Engineering Checklist

A repeatable compliance engineering process ensures ongoing adherence to regulations. The process includes:

Data governance and model card creation for provenance and bias assessment

Automated accessibility testing in CI using axe-core and Playwright

Continuous compliance checks with AWS Config and Security Hub

Threat detection and data loss prevention with GuardDuty and Macie

Implementing a robust compliance engineering checklist helps maintain evidence for auditors and internal reviews.

By following this blueprint, organizations can build AI-driven HR tools that not only meet accessibility, regulatory, and safety requirements but also deliver scalable, high-quality solutions that unlock the full potential of their talent pools.