Responsible AI & Compliance
Compliance as a design input, not a retrofit.
AI Act readiness, GDPR-aligned data governance and model governance — turned into concrete architectural and process decisions your teams can implement.
What this covers
AI Act readiness
Preliminary system classification and a realistic path to compliance.
Data protection & minimisation
Collect less, protect better, prove both.
Model governance
Versioning, evaluation and accountability for the models you run.
Human oversight design
Decision flows where accountable people stay in control.
Documentation & transparency
The records regulators, auditors and your own teams need.
Provider assessment
Evaluate AI vendors on compliance, not just capability.
Risk assessment
AI-specific risks identified, rated and mitigated.
Policies & accountability
Internal rules that people can actually follow.
Why it matters
Compliance addressed early is an architecture question and a modest cost. Addressed late, it is a redesign.
Sounds like your situation?
Describe it to us — the first conversation is exploratory, not a sales pitch.
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