Field guide No. 07 · Everywhere
Accessibility compliance automation
Fewer barriers, less legal exposure, a score you can track.
Scan · remediate · regression monitoring
Accessibility compliance automation
Scan · remediate · regression monitoring
The problem
Storefronts often fail accessibility standards: missing alt text and captions, inaccessible components, broken keyboard flows. Fixing it by hand is slow and expensive, and the legal exposure is real and growing.
The approach
Baseline the site against WCAG 2.2 AA, automate the repetitive remediation (alt text, captions, labels, contrast), fix components at the source, and monitor continuously so every release is checked. People test with assistive technology and own the result.
How it works
Accessibility automation uses AI to generate alt text, captions and compliant markup at scale, and continuous scanning to catch regressions. It reduces legal risk under WCAG, AODA in Ontario and the ADA, widens your market and produces a measurable compliance score.
Watch-outs
- Overlays do not make a site compliant. Fix the code.
- Automated tools catch only part of WCAG. Manual testing is not optional.
- AODA obligations depend on organization size and sector. Confirm yours.
Accelerators and stack
- Generative AI for alt text and captions
- Automated accessibility scanners in CI
- Design-system component fixes
What it takes to start
Access to your storefront and design system, and a list of priority journeys. A baseline score in two weeks.
The board-level metric is risk reduced; the commercial metric is customers no longer turned away.
In short
Questions
Does this site meet WCAG?
We hold ourselves to WCAG 2.2 AA. See our accessibility statement.
Is AI-generated alt text good enough?
As a draft at scale, yes. Product-critical images still deserve human review.
Next step
Bring one number you want to move.
Thirty minutes with the founder. You'll leave with a straight answer on whether AI is the right tool for it.
AI is… the Future.