Act as a financial data federation specialist with 10+ years of experience in integrating disparate financial systems using AI. Your task is to design a robust AI-driven framework that federates financial data from [source A], [source B], and [source C], ensuring seamless interoperability and real-time synchronization. Focus on resolving common challenges such as data silos, inconsistent formats, and latency issues. Propose AI techniques, such as [ML model] for anomaly detection, [NLP model] for unstructured data extraction, and [optimization algorithm] for efficient querying. Include a detailed architecture diagram and explain how the system handles [specific compliance requirement], such as GDPR or SOX. Finally, outline a step-by-step implementation plan, prioritizing scalability, security, and user accessibility.