When the mid-sized professional services firm in Kitchener, Ontario discovered in 2024 that its automated pre-hire screening system had rejected a 29-year-old lawyer called to the Ontario bar 18 months earlier, with credentials from a law faculty outside Canada, without any opportunity for human review, the organization faced a stark operational reality beyond the immediate legal exposure: the firm possessed no documented protocol by which any employee could have flagged the rejection for reconsideration, no established mechanism for assessing whether the algorithm's experience thresholds were producing discriminatory outcomes across applicant pools, and no systematic process for ensuring that qualified internationally educated professionals were not being filtered out before a human being ever saw their materials. The absence of these structural safeguards transformed what might have been an isolated screening error into evidence of systemic compliance failure. For HR practitioners, governance officers, and claims professionals examining this scenario, the critical lesson lies not merely in understanding how the rejection occurred but in comprehending what organizational architecture would have prevented it. Designing override protocols and adverse impact assessments represents the affirmative side of automated screening compliance—the proactive systems that organizations must build before algorithmic tools produce discriminatory outcomes, rather than the reactive responses those outcomes eventually require.