Comprehensive documentation covering system design, data sources, accuracy benchmarks, and known limitations must be complete before market entry. This package must be updated continuously whenever the system changes.

Real-time capture of inference inputs, confidence scores, and decision outputs is mandatory at the model serving layer. Reconstructing logs post-factum from application data does not satisfy Article 12.

The interface must provide operators with genuine override capabilities and the data they need to make real decisions. Article 14 is explicit: confirming an AI output without reviewing its basis does not count as oversight.

Datasets must be fully documented, representative, bias-screened, and strictly linked to the specific model versions they trained. This ensures traceable training data provenance during audits.

EU AI Act risk classification

Compliance-native architecture design

Technical documentation for conformity

Model governance and logging infrastructure

Your internal software developers continue writing consumer-facing features, executing regular sprints, and advancing your primary product roadmap according to schedule.

Corpsoft Solutions engineers build your safety architecture, integrate code-level controls, and structure regulatory documentation inside your active AWS or GCP environments simultaneously.

Defined, brief intervals where both tracks align for architecture reviews and audit-readiness checkpoints, preventing the accumulation of technical debt.