AI compliance Services with Deep Privacy Expertise
We create an audit-ready system that is visible to partners and regulators, convenient for employees, and safe for clients combining the requirements of the EU AI Act, GDPR, NIS2, ISO.
Our team brings unique data privacy expertise to AI systems, making them not just compliant, but reliable and ethically sound.
until High Risk Systems requirements will come into force.
EU AI Act Implementation Timeline (2024-2030)
The EU AI Act officially became law in July 2024, with its requirements being introduced in phases to allow for a smooth transition. In February 2025, the first regulations took effect, focusing on banning AI systems that pose unacceptable risks. By August 2026, the majority of the law’s rules will apply to most AI technologies and providers. Finally, certain specialized systems and large-scale projects have until 2027 or even 2030 to meet all legal standards.
2024
EU AI Act published and enters into force; compliance requirements not yet mandatory.
2025
Prohibited AI systems banned; GPAI rules and AI governance framework take effect.
2026
High-risk AI systems deadline; AI regulatory sandboxes operational across EU.
2027
Final GPAI compliance deadline; high-risk AI classification rules apply.
2028
AI Act evaluation: AI Office, voluntary codes, and high-risk categories reviewed.
2029
AI Act implementation report; Commission’s delegated powers expire unless extended.
2030
Public authority AI compliance; large-scale IT systems final deadline (Dec 31).
This might be you
Who the EU AI Act does apply to?
Providers
These are organizations that develop an AI system (or commission its development) and place it on the market under their own name.
Examples of systems
- Industrial efficiency: Software from General Electric helping factories monitor and reduce resource consumption (electricity, gas, water).
- Transportation and safety: Mobileye technologies providing driver assistance features (automatic braking, lane keeping) for various automotive brands.
- Financial services: Fraud detection systems from Mastercard.
Deployers
These are individuals or organizations using an AI system in their professional capacity (does not apply to personal, non-professional use).
Examples of systems
- Insurance: Companies (e.g., Allianz) using AI to automate claims processing, such as the “60-second payout” process.
- Retail and cosmetics: Brands (e.g., Charlotte Tilbury or Max Factor) offering customers virtual makeup try-on or skin diagnostics services using third-party AI solutions.
- Public sector and law enforcement: Police or border services using biometric identification systems or crime risk assessment tools.
Importers
Importers are required to ensure that the provider from outside the EU has completed all conformity assessment procedures and prepared the necessary documentation.
Examples of systems
- Specialized software providers: A European legal entity that procures an AI system from a developer in the USA or China (without an office in the EU) for subsequent sale or provision to companies within the European Union.
- System integrators: A European consultancy that licenses an AI-powered analytics tool from a non-EU vendor and resells it as part of its service offering to EU clients.
Distributors
Distributors must verify the presence of CE marking and accompanying documentation before making the system available on the market.
Examples of systems
- Cloud platforms and marketplaces: Services such as AWS Marketplace or Google Cloud Marketplace that make AI models already placed on the EU market available to end users through software libraries or APIs.
- IT resellers: Value-added resellers (VARs) that distribute AI solutions from established providers to enterprise customers across the EU.
If you represent a group of companies, your structure may include both deployers and providers. And each must comply with their obligations.
Free AI Act Compliance Gap Assessment
Dedicate 45 minutes to an interview with our expert and receive a complete compliance report for one AI system according to the EU AI Act requirements. The report will determine the applicability of the Act to your service, classify the risk level, and develop a plan to close the gaps.
What are the requirements?
Unacceptable Risk Systems Provider
Banned for usage.
High-Risk Systems
- Establish a risk management system throughout the entire AI lifecycle.
- Implement data governance to ensure representative, error-free training datasets.
- Prepare detailed technical documentation.
- Provide clear instructions for use.
- Enable human oversight capabilities.
- Meet standards for accuracy, reliability, and cybersecurity.
- Complete conformity assessment and obtain CE marking before market entry.
Limited Risk
- Inform users that they are interacting with AI.
- Label artificially generated content.
Low Risk
Voluntary compliance with codes of conduct is encouraged.
- Use systems strictly in accordance with the provider's instructions.
- Ensure human oversight by qualified personnel.
- Monitor system operation and store logs generated automatically by the system.
- Inform the provider or distributor of any serious incidents or malfunctions.
- For certain organizations (e.g., public authorities) conduct a Fundamental Rights Impact Assessment (FRIA) before using high-risk systems.
AI Literacy is required under Article 4 of the EU AI Act for both Deployers and Providers.
Companies must train employees who work with AI so they understand the risks and opportunities of this technology. The business must also be able to provide evidence of training completion, such as passed tests or certificates.
We provide interactive LMS-friendly trainings for all employees that require only 45 minutes to complete.
Typical business problems we solve per consultancy project
Transparency gaps
Chatbots and automated messages generating synthetic content without labeling, detection, and disclosure.
Role uncertainty
One legal entity registered as a Provider while others act as Deployers.
Actionable Insights
AI affecting employment may fall under Annex III, but exceptions for narrow tasks often nullify this.
AI Governance gaps
Lack of proper assessments (i.e., risk assessments, fundamental rights impact assessments, DPIAs, etc.), do’s/don’ts checklists, Acceptable Use Policies (AUPs), templates, weak awareness, etc.
If you need to
We will
If you need to
Hold a corporate pilot or investor due diligence.
We will
Deliver compliance documentation ready for investor review and corporate partnership approval within weeks.
If you need to
Close a B2B deal.
We will
Provide audit-ready evidence packages that satisfy B2B clients’ procurement and legal requirements.
If you need to
Take into account all complex business requirements.
We will
Map all AI systems with the company’s role structure, take into account all necessary standards, including ISO 42001, ISO 27001, NIS2, and build compliance in accordance with the required jurisdictions, for example, EU, Latin America, MENA, APAC.
Learn how our compliance services are delivered
AI Inventory and Risk Mapping
- 3–4 weeks
- Complete inventory of AI systems across departments and geographic regions.
- Documentation of functionality, input data, output data, and level of autonomy.
- Risk classification according to the EU AI Act (high risk, transparency risk).
- Centralized registry, including third-party AI integrations.
- Assignment of internal compliance tracking owners.
Provider Track
- Documentation templates, written policies and instructions, risk management (i.e., list of known and reasonably foreseeable risks, conformity assessment procedure specification, etc.).
- Conformity assessment process for high-risk systems.
- Clear ownership policy: who creates, who approves, who signs.
Deployer Track
- Privacy Notice updates for AI transparency.
- Acceptable Use Policy (AUP).
- Human oversight policy with escalation protocols.
- Monitoring system and incident reporting procedures.
- Data quality validation.
- Record-keeping system for audit readiness.
- Staff training program.
Provider and Deployer Obligations
- 4–5 weeks
Governance and Control
- 3–4 weeks
- Role clarification and licensing agreement updates.
- Distribution of responsibilities and obligations across legal entities.
- Designation of European legal entity for regulatory accountability.
- Bias detection procedures and fairness audit framework.
- Ongoing post-deployment compliance checks for your AI.
- Acceptable use policy for internal AI tools.
- DPIA template review and AI-specific updates.
- Vendor and external AI tools compliance checklist.
Included in the base price
- Up to 5 AI systems, one jurisdiction
- Additional systems: €1,200 each
- Multi-jurisdiction add-on: +€2,500
Choose your package
Startup Fast-Track
- Fixed price: €9,900
- Timeline: 4-6 weeks
- Best for: Seed-Series B, up to 5 AI systems
Deliverables:
- AI system inventory and risk classification
- Gap analysis with 90-day remediation plan
- Template kit: AI DPIA, Risk Register, Transparency Notice, Incident Guidance
- Provider/Deployer role determination
- 2 workshops (kickoff + findings review)
- One-pager for enterprise sales
Startup Premium
- Fixed price: €14,900
- Timeline: 4-6 weeks
- Best for: Pre-Series A/A, preparing for fundraising
Everything in Fast-Track, plus:
- Investor due diligence pack (Q&A, compliance deck)
- Term sheet compliance clause review
- 6-month post-delivery support
- Board-level compliance summary
Enterprise Compliance Sprint — standard version
- Fixed price: €24,900
- Timeline: 8-10 weeks
- Best for: 5-10 AI systems, up to 2 jurisdictions
Includes everything in Startup Fast-Track, plus:
- Multi-jurisdiction role mapping (Provider/Deployer/Importer per legal entity)
- Regulator-ready technical documentation package
- SDLC-embedded controls (Jira, GitHub/GitLab, Azure/AWS/GCP)
- Bias testing and fairness audit procedures
- Post-market monitoring framework
- Role-based training (developers, product, legal, executives)
- Compliance provisions in licensing agreements
Enterprise Compliance Sprint — comprehensive version
- Fixed price: €39,900
- Timeline: 10-12 weeks
- Best for: 11-20 AI systems, 3+ jurisdictions
Everything in the standard version, plus:
- GPAI (General Purpose AI) compliance analysis
- Multi-entity liability structuring
- Cross-border data flow mapping
- Advanced conformity assessment procedures
- Executive steering committee facilitation
- Regulatory engagement support (if required)
Not sure which package you need?
Request a free consultation with our AI expert. During the meeting, they’ll determine the approximate number of AI systems and applicable requirements based on your business plan. After the consultation, you’ll receive a follow-up with possible next steps for compliance.
Make a preliminary assessment of your AI systems
Download our free AI Compliance Checklist to learn the steps you need to take to reach compliance.
Built on deep GDPR expertise, extended to AI compliance
We don’t just consult on AI compliance — we built our AI practice on top of 5 years of hands-on data privacy requirements implementation across 49 jurisdictions. That means every AI system we assess is evaluated through the lens of real-world data protection experience and best ethical practices, not theoretical frameworks.
GDPR experts who understand AI Act. AI Act experts who understand GDPR.
220
completed projects
from early-stage startups to multinational corporations
49
jurisdictions
EU, UAE, Latin America, APAC, MENA
12
AI systems assessed
under EU AI Act
principles
Zero
compliance failures
no client has faced regulatory action post-engagement
What makes our AI compliance services special?
We implement, not just advise
Our consultants have built compliance systems from scratch, not just reviewed them.
We speak both legal and technical
Our team includes ex-developers who understand ML pipelines, data flows, and API integrations.
We've been in the trenches
From handling mystery shopping audits to defending clients during supervisory authority inquiries, we know what real compliance looks like under pressure.
We guarantee the result
Evidence package by week 4 (Startup) or week 8 (Enterprise) — or free extension until completion.
Post-delivery support
If a regulator requests additional documentation within 90 days, we’ll provide it free of charge.
Deal protection
100% money-back guarantee if you lose a corporate deal due to incomplete compliance materials we provided.
Our Consultants
Petruta Pirvan
AIGP, FIP, CIPP/E, CIPP/US, CIPM
Elena Aliseychik
GDPR DPP, GDPR DPT, GDPR DPM, CIPP/E, AIGP
Learn our cases
Here’s what clients say about our services
Build Responsible AI Systems
Fill in the form and get a free consultation.
- Implementation of 7+ legal frameworks.
- Individual and corporate training on AI.
- Development of responsible AI systems within organizations.
- Custom services upon request.
Frequently Asked Questions
Is GDPR compliance the same as meeting the regulatory requirements of the Artificial Intelligence Act?
No, they are distinct but overlapping regulatory frameworks. While GDPR compliance focuses on the protection of personal data, the Artificial Intelligence Act introduces a broader governance framework for the development and use of artificial intelligence based on risk levels. But still the main principles of people’s privacy rights as transparency and bias absence are the same for both regulations. Our services leverage deep data protection expertise to ensure your organisation meets both sets of regulatory obligations.
How fast can you perform an audit and make our organisation compliant with regulatory expectations and aligned with best practices?
We can make you audit-ready for stakeholder reviews, procurement, and regulatory compliance within 4 to 12 weeks, depending on the chosen package. For example, the Startup Fast-Track takes 4–6 weeks to deliver a complete inventory and gap analysis. We provide proactive expert guidance to speed up your ai adoption and satisfy regulatory expectations.
Can we implement AI regulation requirements ourselves, or do we need compliance support to tailor our risk management?
While an organisation can attempt internal implementation, the regulatory landscape is complex and requires tailored solutions to mitigate risks associated with artificial intelligence. We provide tailored support to embed trustworthy AI principles into your organisational processes. Our team helps you draft technical documentation and policies that ensure adherence to global data standards.
What outcomes and deliverables will our organisation receive to ensure regulatory compliance?
At the end of the project, you receive a comprehensive governance framework, including an audit-ready AI system inventory, risk classification, and a remediation plan. Deliverables also include a template kit (AI DPIA, Risk Register, Transparency Notice) and executive-ready evidence packages for investor due diligence or enterprise sales.
Can your compliance support cover third-party AI tools?
Yes, we include third-party AI integrations and vendors in our inventory and risk management mapping. We provide a specific vendor and external AI tools compliance checklist to ensure that your use of artificial intelligence remains responsibly managed across the entire organisation.
How do you handle a complex organisation with multiple entities and deployer vs provider roles?
We map all artificial intelligence systems against your company’s organisational structure. We clarify regulatory roles (Provider, Deployer, Importer) for each legal entity and distribute regulatory obligations accordingly, ensuring sector-specific adherence to the Artificial Intelligence Act.
Can you embed AI regulatory controls directly into our AI development workflow?
Yes, our Enterprise Compliance Sprint is designed to embed controls directly into your SDLC and tools like Jira, GitHub/GitLab, and cloud environments (AWS/Azure/GCP). This ensures that ensuring compliance becomes a scalable and automated part of your development and use of artificial systems.
Do you include AI literacy training and evidence that our staff completed it?
Yes, Article 4 of the Act requires organisational AI literacy. We provide interactive, LMS-friendly training for employees. To meet regulatory requirements, we provide evidence of training completion, such as certificates or passed tests, to demonstrate responsible ai governance. Learn more about our training programs here.
How does pricing work regarding the number of artificial intelligence systems and jurisdictions?
Our base pricing covers up to 5 AI systems and one jurisdiction. We offer scalable add-ons for additional systems (€1,200 each) and a multi-jurisdiction add-on (+€2,500) to support your global data ai strategy.
What makes your compliance support different from a typical legal firm?
Unlike traditional firms, we provide expert guidance that combines legal audit requirements with technical deployment expertise. We don’t just provide a draft of a policy; we help you mitigate real-world risks through bias testing, fairness audits, and SDLC integration, ensuring your ai development is both responsible and compliant.
What compliance support is available for mitigation if a regulator asks questions after the lifecycle of the project?
We provide post-delivery support to help you responsibly handle follow-up inquiries. If a regulator requests documentation within 90 days of project completion, we provide it free of charge. Some packages also include up to 6 months of ongoing proactive support.
Which package should we choose to tailor our AI strategy?
- Startup Fast-Track: Best for Seed-Series B companies with up to 5 systems needing a quick regulatory gap analysis.
- Startup Premium: Ideal for those preparing for fundraising, including an investor due diligence pack.
- Enterprise Sprint: Designed for large-scale ai adoption (up to 20 systems) requiring multi-entity liability structuring and GPAI compliance analysis.
