AI Compliance & Governance – Navigate the AI Act with Confidence
The EU AI Act is the world’s first comprehensive AI regulation. Non-compliance means fines up to €35M or 7% of global turnover. We help you build governance frameworks that ensure compliance while maintaining innovation velocity.
The New Rules of AI
Artificial intelligence is no longer unregulated. The EU AI Act, effective August 2026, introduces binding requirements for AI systems based on their risk level. Similar regulations are emerging globally.
For businesses developing or deploying AI, this changes everything. High-risk AI systems face strict obligations around risk management, data governance, technical documentation and human oversight. Non-compliance brings severe penalties.
Our AI Compliance & Governance practice helps you navigate this new landscape. We assess your AI systems against regulatory requirements, implement governance frameworks and ensure you’re compliant before regulators come knocking.
Complete AI Compliance Solutions
AI Act Classification & Gap Analysis
The first step is knowing where you stand. We analyze your AI systems and classify them under the AI Act framework. Is your system prohibited, high-risk, limited risk or minimal risk? We then conduct a gap analysis comparing your current practices against regulatory requirements. This provides a clear roadmap of what you need to do to achieve compliance.
Risk Management Frameworks
High-risk AI systems require systematic risk management. We help you establish processes to identify, evaluate and mitigate risks throughout the AI lifecycle. This includes foreseeable misuse, health and safety risks, and fundamental rights impacts. Our frameworks align with ISO 42001 and emerging AI management standards.
Technical Documentation & Conformity Assessment
High-risk
AI systems must have comprehensive technical documentation demonstrating compliance. We help you prepare documentation covering system design, development, testing, performance and risk management. Where third-party conformity assessment is required, we support you through the process with notified bodies.
Algorithm Auditing & Bias Testing
Algorithmic fairness is a regulatory and ethical imperative. We conduct independent audits of AI systems to assess performance, bias and discrimination risks. Our testing evaluates outcomes across demographic groups, identifying potential disparities. We recommend mitigation measures and help you implement ongoing monitoring.
Governance Structure & Roles
Compliance requires clear accountability. We help you establish governance structures with defined roles and responsibilities. This includes designation of qualified personnel, oversight mechanisms and reporting lines. We develop policies and procedures that embed compliance into your AI development lifecycle.
How We Make You AI-Compliant
1. Inventory & Classification
We identify all AI systems in your organization and classify them under the AI Act framework.
2. Gap Analysis
We assess current practices against regulatory requirements, identifying compliance gaps and priorities.
3. Framework Design
We design governance frameworks, risk management processes and documentation systems tailored to your needs.
4. Implementation Support
We help you implement required changes: updating processes, preparing documentation, conducting testing.
5. Conformity Assessment Support
Where third-party assessment is required, we support you through the process with notified bodies.
6. Ongoing Monitoring
We establish systems for post-market monitoring and continuous compliance.
The Lincoln Wealth AI Compliance Advantage
| ⚖️ Regulatory Depth | 🤖 Technical Expertise | 🛡️ Risk-Focused |
| Former regulators and AI legal specialists | Deep understanding of AI systems and algorithms | Practical mitigation of real risks |
| 📋 Framework Agnostic | 🔍 Audit-Proven | 🌍 Global Perspective |
| AI Act, ISO 42001, NIST, and emerging standards | Methodologies that withstand scrutiny | Anticipating regulations beyond Europe |
Direct & Action-Oriented
Professional & Efficient
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