Discovery & mapping
Understanding how your AI fits the law

We start by identifying where AI lives inside your organisation, from internal tools and third-party models to customer-facing products. This step clarifies what qualifies as an AI system, its purpose, and who’s accountable under the regulation.

Risk classification
Placing each system under the right tier

Using the AI Act criteria and Annex III indicators, we determine if each system is prohibited, limited, high-risk, or GPAI. That classification defines the compliance route: transparency duties, conformity assessment, or full QMS requirements.

Control framework design
Embedding compliance into your operations

We build or adapt the controls you need: governance roles, risk management procedures, human oversight, data governance, vendor supervision and record-keeping. Each measure is connected with your GDPR, DORA and security frameworks for coherence.

Documentation & validation
Producing the technical file regulators expect

We create the core evidence package: Model documentation, testing protocols, accuracy metrics, bias assessment and human-in-the-loop validation. Structured, traceable and formatted for conformity assessment or customer due-diligence.

Monitoring & incident response
Keeping compliance continuous

We design your post-market monitoring setup: how incidents are logged, performance drift detected, and updates documented. This turns compliance into a living process rather than a one-time audit.

Readiness & assurance
Proving conformity with confidence

We compile the final dossier, align it with harmonised standards and prepare you for audits or client requests. The result: demonstrable compliance, faster procurement approvals, and AI that scales without regulatory friction.