EUAIACTUS.COM

EU AI Act advisory

Turn EU AI Act obligations into an operational compliance program.

Engagements start with scope, role and AI-system facts. The objective is a defensible map of obligations, owners, evidence and implementation work — not a generic policy package.

A service provided by Lexara Advisory LLC.

Core engagements

EU AI Act compliance services

Scope & role mapping

Assess Article 2 exposure, EU nexus, provider/deployer/importer/distributor roles, GPAI relationships and relevant exceptions.

AI system inventory

Create a system-level inventory covering intended purpose, users, affected persons, models, vendors, data flows, jurisdictions and deployment context.

Prohibited-practice review

Screen use cases against Article 5 and the current Commission implementation materials before downstream classification work.

Article 50 transparency readiness

Map user disclosures, machine-readable marking, deepfake/public-interest content duties and implementation evidence for rules applying from August 2026.

High-risk AI classification readiness

Assess Annex III and product-linked risk pathways, intended purpose, exceptions and the evidence needed for 2027/2028 readiness.

GPAI governance

Map model-provider and downstream obligations, documentation interfaces, systemic-risk questions and Code of Practice implications.

AI literacy implementation

Design role-sensitive measures to support AI literacy under amended Article 4, based on actual personnel, systems and risk context.

Governance & evidence architecture

Define accountability, policy, risk management, vendor controls, human oversight, documentation, monitoring and implementation ownership.

EU AI Act + GDPR governance

For AI systems processing personal data, coordinate AI Act role/classification with GDPR Article 3 scope, Article 22, DPIAs, transparency, data transfers and vendor obligations.

Combined EU AI Act + GDPR guide →

Deliverables

What a project should leave behind

Applicability & role memo

A fact-specific record of why the Act, role and obligation set do or do not apply.

AI system register

A structured inventory that can support classification, governance and future updates.

Obligation/control matrix

Requirements translated into controls, owners, evidence and implementation gaps.

Prioritised roadmap

Work sequenced by legal applicability, effective date, risk and operational dependency.

Engagement principle

Compliance work should follow the system, not the buzzword.

The same organisation can simultaneously act as provider, deployer or downstream user across different AI systems. We scope at system and use-case level before assigning obligations.