Implementation
We patch data collection flows, consent logic, semantic markup, focus states, and metadata at code level.
After audit, we implement prioritized changes and add regression checks across code review and CI.

We patch data collection flows, consent logic, semantic markup, focus states, and metadata at code level.
We add quality gates and reporting so new releases maintain compliance posture by default.
Remediation starts from a scoped GDPR or EAA/BITV audit with reproducible findings and acceptance criteria.
CI can catch missing labels, invalid semantics, forbidden trackers, and known regressions. It cannot replace periodic manual testing or legal review. We separate automated controls from the checks that still require a person, then assign an owner and review date to each.
Yes, if the report includes reproducible findings and acceptance criteria. We first validate the highest-risk sample, then scope the fixes and retest against the original references.
It reduces regression risk but does not replace manual review. Automated checks cover known machine-testable rules; keyboard, screen-reader, usability, policy, and legal questions still need scheduled human review.
Each fix is tied to a finding ID, reproduction steps, the changed code, and a retest result. Open limitations stay visible rather than being hidden behind a generic pass score.
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