EU AI Act compliance deadline approaching.Compliant in weeks.

Yes. Under the EU AI Act, AI systems used in employment decisions including CV screening, candidate ranking, and hiring recommendations are classified as high-risk AI systems (Annex III, Article 6). High-risk classification requires conformity assessment documentation before deployment, a risk management system covering the full AI system lifecycle, data governance procedures ensuring training data quality and representativeness, transparency documentation enabling users to understand the AI decision-making, human oversight measures ensuring a human reviews AI recommendations before final decisions, and accuracy, robustness, and cybersecurity measures. PM scopes which of these your current system has in place and which need to be built for compliance.

In a 3-month Sprint Pack engagement, the engineer and PM together deliver: a risk classification document determining whether your AI systems are high-risk, limited-risk, or minimal-risk under Annex III, a technical documentation package for each high-risk system covering system description, intended purpose, training data sources and governance procedures, performance metrics and testing results, human oversight design, and known limitations. A conformity assessment for each high-risk system covering fundamental rights impact assessment, bias testing across protected characteristics, and robustness testing. Post-market monitoring procedures for tracking system performance and user complaints after deployment. A transparency notice for users explaining that AI is used in the decision, what data is used, and how to request human review.

GDPR focuses on data protection and privacy how personal data is collected, processed, stored, and transferred. EU AI Act focuses on AI system risk and trustworthiness whether AI systems operating in specific high-risk domains are safe, accurate, transparent, and subject to appropriate human oversight. Overlap areas: GDPR Article 22 (automated individual decision-making) and EU AI Act transparency requirements both address AI decisions affecting individuals, and GDPR data minimisation principles intersect with EU AI Act data governance requirements. Key difference: GDPR compliance does not imply EU AI Act compliance, and vice versa. A company can be GDPR-compliant (processing data lawfully) while deploying a high-risk AI system without the required conformity assessment, technical documentation, and oversight measures that the AI Act separately mandates.

Yes. Conformity assessment documentation for high-risk AI systems is a Sprint Pack deliverable. The documentation package includes: a technical description of the AI system (architecture, training data sources, intended purpose, deployment context), a bias and fairness assessment testing the system output across protected characteristics (gender, age, ethnicity, disability status) with documented methodology and results, a robustness assessment testing system behaviour under adversarial inputs, distribution shift, and edge case conditions, a human oversight design document specifying how and when human reviewers intervene in AI-assisted decisions, a fundamental rights impact assessment evaluating potential harms to data subjects from incorrect or biased AI outputs, and a post-market monitoring plan specifying how system performance and user complaints will be tracked after deployment.

The three violation categories with the highest financial and reputational risk for SaaS companies: first, deploying a prohibited AI practice (Article 5) specifically, AI systems that use real-time biometric identification in public spaces, social scoring, or manipulation techniques exploiting psychological vulnerabilities. Prohibited practices cannot be made compliant; they must be stopped entirely. Second, deploying a high-risk AI system without conformity assessment documentation (Article 43) if you operate a high-risk system without the required technical documentation, risk management system, and transparency notices, you face fines up to EUR 15 million or 3% of global turnover. Third, failing to register high-risk AI systems in the EU AI Act database (Article 71) required for all high-risk systems before they are placed on the market. PM assesses which category your specific AI applications fall into.

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