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Artificial Intelligence solutions
Turn AI regulation into a competitive advantage. Build compliant, secure and future-ready AI strategies with Arendt’s end-to-end legal and advisory services. From assessing how regulations impact your business to operational AI governance, we help you unlock the full potential of AI while ensuring robust compliance.
Why AI compliance matters
AI is opening up new opportunities for organisations. As the regulatory landscape evolves with the EU AI Act and related frameworks (GDPR, DORA, NIS2, DSA), it is important for businesses to understand how these requirements fit into their operations. By proactively addressing compliance, you can foster trust, transparency and sustainable innovation, turning regulatory obligations into a foundation for responsible growth and long-term success.
Key challenges include:
- How do you innovate responsibly while staying compliant with the AI Act and other regulatory requirements?
- How do you ensure your AI systems are classified, assessed and documented correctly?
- How do you build an AI governance framework that is both robust and future-proof?
How Arendt helps
Our multidisciplinary teams can guide corporates and financial institutions through every major regulatory evolution. We combine legal, operational and technological expertise to help you:
- Decode regulatory complexity into actionable strategies
- Design solutions tailored to your operational reality
- Scale compliance efficiently through technology
Key AI services
- Build a robust AI strategy and governance framework: develop a comprehensive approach that includes an ethical charter, a strategic AI roadmap and extended organisational policies. Integrate AI considerations into existing governance structures by providing clear rules for use, defining roles and responsibilities and establishing compliance mechanisms. Ensure alignment with applicable legal frameworks whilst implementing rigorous controls, traceability measures and documentation protocols. This foundation enables AI deployment that is controlled, defensible and lawful.
- Ensure AI audit-readiness from the outset: define comprehensive tracking and retention requirements to support transparency and accountability. This includes source documentation (with particular attention to IP rights, confidentiality obligations, and data protection regulations), version control, change management records, approval workflows, authorisations, system logs, activity records, supporting evidence and audit trails.
- Engage stakeholders: run workshops with operational teams to capture real needs, document pain points and build a usable pipeline of AI opportunities.
- Prioritise strategically: use a value/feasibility/risk decision matrix to rank use cases, focusing on high-impact opportunities where ROI and process reliability are tangible.
- Select the right approach: for each shortlisted use case, determine whether AI should assist users or enable broader automation (agent/workflow), with appropriate safeguards in place.
- Define operational parameters: specify which data is used (addressing IP rights, confidentiality and data protection requirements), where controls sit, when human validation is required and how outputs remain explainable and reliable.
- Select and contractualise the right partner: conduct vendor due diligence, perform risk assessments and ensure robust contractual protections are in place.
- Assess and document impacts: ensure transparency and accountability through relevant notices, fundamental rights impact assessments and data protection impact assessments where required.
- Verify compliance: confirm alignment with internal policies and applicable legal frameworks before deployment.
- Build, deploy and scale: deliver pilots, stabilise the solution and then transition to production with full documentation, monitoring, exception handling and readiness for broader rollout.
- Evaluate performance continuously: implement processes to assess quality, accuracy and safety before and after go-live, with appropriate human oversight.
- Maintain operational excellence: enforce AI usage policies and establish performance monitoring frameworks.
- Integrate into resilience planning: include AI systems within the ICT resilience framework to ensure business continuity.
- Verify security and compliance: conduct penetration testing and ongoing compliance assessments.
- Leverage pre-built solutions: when speed matters, use Arendt’s platform and service catalogue with pre-built agents, prompt libraries, workflows, connectors and flexible deployment options (SaaS or private).
- Kick-start with proven use cases: deploy established solutions such as intelligent extraction from regulatory documents and regulatory/cyber watch services.
- Access specialist legal services: benefit from expert support including AI governance framework design, AI procurement and vendor contract negotiation, regulatory compliance assessments (AI Act, GDPR, NIS2), data protection and IP rights advisory, risk assessments and impact documentation, AI audit preparation, and ongoing legal advisory for AI deployment.
- Use specialist tools: apply dynamic risk assessment tools and RegTech integration to enhance compliance and operational efficiency.
Want to know more?
Download our full AI Service Offering for a comprehensive overview and practical insights.
