Map AI systems in the organization
A full organizational snapshot: models and AI vendors as the basis for regulatory classification and a sound compliance roadmap.
Regulatory and technology advisory for artificial intelligence
EU AI ActFrom assessment through implementation in your organization
The EU’s AI Act opens a new chapter in how organizations build and operate AI systems. Much like GDPR reshaped privacy and data, the EU AI Act reshapes requirements around developing, governing, and using AI.
It establishes a broad regulatory framework covering risk management, transparency, documentation, and controls — for organizations serving the European market or offering AI-powered services.
We help SaaS companies and technology organizations understand their exposure, close gaps, and put in place a practical readiness path that connects regulatory requirements with real-world engineering.
Why is the EU AI Act a game changer?
The EU AI Act is far more than “another regulation” — it redefines how technology meets business. For the first time, a clear global-style standard classifies AI by risk levels and demands meaningful transparency. Organizations can no longer treat AI as an informal “gray area.” The Act turns compliance into a strategic asset: it builds trust with privacy-conscious customers, protects against fines that can reach millions of euros, and rewards responsible innovation with a real competitive edge.
Risk classification
Classifying risk levels and building documentation that bridges engineering and regulatory requirements.
Smart transparency
Tuning reporting and disclosure appropriately for users and third parties.
Operational controls
Establishing oversight and human supervision alongside separation of duties, to safeguard critical systems.
Supply-chain oversight
On the AI supply chain: governing data and models with vendors.
Our model for meeting the AI Act
Regulatory insight, organizational process, and engineering practice — so compliance lives in the product, not only in a document.
Risk classification under the EU AI Act
Assessment aligned with statutory categories, including links to prohibited or restricted offerings.
Build a compliance plan
An operational program (multi-year or focused): goals, timelines, and cross-team interfaces.
Training for leadership and teams
Targeted workshops to align engineering, legal, and product around shared quality criteria.
Policies and procedures
AI governance foundations: development and testing procedures, decision logs, and model change documentation.
Ongoing advisory (regulatory & technical)
Continuous support for sustainability and compliance: regulatory updates and internal control mechanisms.
The Outcome
Reduced regulatory exposure
Clarifying compliance requirements, solid documentation, and organizational resilience as the AI Act evolves.
Enterprise and audit readiness
Building an "evidence kit" and repeatable processes that shorten security and legal cycles with strategic customers.
Stronger trust with customers and investors
A consistent stance on risk — moving from "we have AI" to demonstrable operational maturity and governance.
Responsible, transparent AI operations
Policy-based decisions, documented model changes, and internal and external transparency for steady, controlled delivery.
FAQ
Short answers to common questions on the path to AI Act readiness.
Does using ChatGPT or GenAI models require AI Act readiness?
Often yes. Using external GenAI as part of a product or service can trigger transparency, control, and documentation expectations — depending on usage and user exposure.
Does the law apply to internal tools?
Sometimes. Internal AI that affects employees, decision-making, or information management may fall in scope, especially in large or sensitive environments.
What is the risk of non-compliance?
Beyond regulatory exposure and potential fines, lack of readiness can slow enterprise deals, complicate procurement, and erode customer trust.
How long does readiness take?
It depends on product complexity and how many AI systems you run. Many organizations can complete an initial audit within weeks and improve iteratively.
Do we need major system rewrites?
Not necessarily. Usually it is about layers of documentation, monitoring, transparency, and controls — not rebuilding the stack from scratch.
Is this relevant for early-stage startups?
Yes. Early is the easiest time to embed the right processes and avoid technical and regulatory debt later.
Does the AI Act replace GDPR?
No. They complement each other — GDPR focuses on privacy and personal data, while the AI Act focuses on how AI systems are developed and operated.
Can we prepare without an internal compliance team?
Absolutely. Many companies start without a dedicated compliance team; the key is a simple, practical process that works for product and R&D.
How is AI Act consulting different from generic AI consulting?
AI Act consulting focuses on regulatory exposure and operational governance, transparency, documentation, and controls — not only AI strategy or new model capabilities.
Contact us
For leadership, product, and legal — we will reply with next steps and a time for a short intro call.