This talk explores how accessibility can be embedded across the entire software development lifecycle, from planning and design to coding, code review, CI/CD, and post-release feedback. Using real-world examples from product and engineering practice, it shows how teams can use accessibility requirements, design tooling, deterministic tests, and AI-assisted review workflows to catch issues earlier, reduce accessibility debt, and keep people in the loop where automation falls short.
The session makes the case that accessible AI products don't happen by accident. They come from intentional systems, better tooling, and planning grounded in disability. The payoff is not just better experiences for disabled people, but better products for everyone.
Key topics
- How AI accelerates existing processes – including broken ones
- Embedding accessibility throughout the SDLC: planning, design, coding, code review, CI/CD, and post-release
- Real-world examples of accessibility requirements and design tooling
- Deterministic testing and AI-assisted review workflows
- Reducing accessibility debt through systematic approaches
- Keeping humans in the loop where automation falls short
Who should attend
- Product managers and engineering leaders building AI-powered products
- Software developers integrating AI into development workflows
- UX designers working with AI design tools
- QA engineers responsible for accessibility testing
- DevOps and CI/CD practitioners
- Anyone interested in building inclusive AI products