The Gap: Two Overlapping Regimes, One Unassessed System
GDPR Article 22 restricts solely automated decisions that produce legal or similarly significant effects on individuals — with narrow exceptions requiring documented safeguards. The EU AI Act separately imposes obligations on high-risk AI systems in credit scoring and creditworthiness assessment, including conformity assessment, technical documentation, and registration in the EU AI Act database. The analytical frameworks overlap but don't map cleanly onto each other, and most in-house privacy teams built their compliance posture around GDPR without accounting for the additional AI Act layer. A credit model that clears an Article 22 analysis can still require high-risk AI registration — and the penalties for non-compliance under the AI Act are steeper than most teams have internalized.
How the Agent Works Across OneTrust, BigID, and iManage
An AI Labor Company agent ingests your credit decisioning system's technical documentation, model governance artifacts, and existing DPIA materials from iManage and BigID, then runs a structured dual-framework assessment. The Article 22 analysis evaluates whether the model constitutes solely automated decision-making, which exceptions apply, and what transparency and human review safeguards are required. The EU AI Act analysis classifies the system against the high-risk categories in Annex III, assesses conformity obligations, and maps required transparency disclosures. The combined output is structured into OneTrust as an actionable risk record with a compliance roadmap — specific gaps, prioritized remediation steps, and registration requirements — rather than a long-form memo.
The Business Case: Avoiding Enforcement While Preserving a Revenue-Generating System
Credit decisioning models aren't back-office tooling — they're often core to how a tech company monetizes financial products at scale. Enforcement action that forces suspension of an automated decisioning system while remediation is underway is a direct revenue impact, not just a compliance cost. An agent that can produce a defensible joint assessment in weeks rather than months — at 45–65% of the effort typically required to run both analyses manually — lets privacy counsel get ahead of regulatory exposure before the DPA inquiry arrives. The agent is typically live and producing assessment outputs within about 10 weeks. At $40K–$120K per AI system in current compliance spend, the economics are straightforward when weighed against enforcement fines and operational disruption.
Our model uses human review at the margin — does that take us out of Article 22 scope?
It depends on the nature and weight of that review. Article 22 case law and guidance from the EDPB distinguishes between substantive human involvement and rubber-stamp review. The agent's analysis includes an assessment of whether your human review process meets the 'meaningful human involvement' threshold or whether further safeguards are needed.
Does the EU AI Act high-risk classification apply to all credit models or just certain ones?
Annex III of the EU AI Act lists AI systems used for creditworthiness assessment or credit scoring of natural persons as high-risk. If your model is used to evaluate individual consumers for credit products, it almost certainly falls within scope. The agent's classification step includes a detailed legal basis memo for the determination.