• Design and build AI agents and agentic workflows using Microsoft Copilot Studio and Azure AI Foundry • Develop RAG (Retrieval-Augmented Generation) solutions that surface and process content from SharePoint and Microsoft 365 • Build document automation solutions including reading, validating, and correcting Word documents against defined templates • Integrate AI solutions with Teams, Outlook, SharePoint, and other M365 tools via Microsoft Graph API • Automate workflows and business processes using Power Automate and Power Platform • Ensure all solutions meet enterprise security and compliance standards within the Microsoft ecosystem • Collaborate across stakeholders to understand requirements, challenge assumptions, and propose scalable alternatives

• Review and refine AI-generated outputs related to identity governance, access provisioning, and authentication frameworks • Assess the accuracy and practicality of AI-driven recommendations on access management, role-based access control, and compliance • Develop real-world case studies and scenarios from your professional experience in IAM • Create scenario variations covering identity lifecycle management, regulatory requirements, and risk mitigation • Identify and articulate gaps or risks in AI recommendations, providing clear, structured feedback • Influence how AI systems interpret IAM best practices and security standards

• Review and refine AI-generated content related to eIDAS2, QES, implementation guidelines, compliance scenarios, and practical best practices • Assess AI outputs for technical, legal, and regulatory accuracy and ensure alignment with current eIDAS2 standards • Develop realistic scenarios illustrating digital identity, trust services, and signature workflows using your professional expertise • Draft scenario variations representing the perspectives of regulators, service providers, and end users • Identify and correct gaps, inaccuracies, or faulty reasoning in AI-created material • Apply your knowledge to ensure AI training data mirrors authentic regulatory analysis, processes, and documentation

• Review and refine AI-generated content related to competition law, regulatory assessments, and antitrust compliance • Evaluate the accuracy and practicality of AI suggestions relating to competition law analysis, case assessments, and legal documentation • Create real-world scenarios and case studies based on your specialist experience in competition and antitrust law • Generate scenario variations that reflect best practices, compliance standards, and risk considerations in competition law • Identify risks and gaps in AI-generated content, providing actionable, structured feedback to enhance accuracy • Guide AI in better understanding and applying key competition law concepts