Client Context
A public-sector digital services team managing a large citizen portal relied on responsive web applications, content management, design system, and CI pipelines to support application submission, identity verification, payments, and status tracking. The operating model handled hundreds of pages and components across the United Kingdom, using DOM structures, accessibility trees, screenshots, and component metadata. UI changes repeatedly broke locators and introduced visual or accessibility regressions. The portal needed traceable validation against accessibility requirements.
Challenges
- UI changes repeatedly broke locators and introduced visual or accessibility regressions.
- The portal needed traceable validation against accessibility requirements.
- Test teams manually translated requirements for application submission, identity verification, payments, and status tracking into test cases and automation tasks.
- Large regression packs consumed excessive execution time across responsive web applications, content management, design system, and CI pipelines, even for small changes.
- Frequent application updates created locator failures, flaky tests, and high maintenance overhead.
Solutions Implemented
- Implemented self-healing navigation, visual comparison, and automated accessibility scanning agents.
- Added keyboard and screen-reader checkpoints requiring human accessibility review.
- Deployed requirement-aware agents to generate reviewable functional, negative, and boundary scenarios for application submission, identity verification, payments, and status tracking.
- Implemented impact-aware regression selection using code changes, defects, dependencies, and historical execution data.
- Introduced self-healing execution that re-evaluated locators and separated product failures from automation failures.
- Connected API, data-generation, evidence, and reporting agents to the existing CI/CD and test-management stack.
Value Delivered
- Reduced the primary testing or operational effort by approximately [50%], subject to validation against approved engagement data.
- Reduced automation breakage and accelerated inclusive release validation.
- Reduced script-maintenance effort while preserving tester review and control.
- Expanded negative, edge-case, and cross-layer coverage.
Impact Highlights
- Achieved an estimated [35%] improvement in cycle time, coverage, or processing consistency; replace with the approved client metric.
- Reduced relevant defects, failures, or rework by an illustrative [20%]; confirm before publication.
- More stable citizen journeys across browsers and assistive technologies.
- Created a reusable agent framework for future products and teams.
