Act as a senior financial data scientist with 10+ years of experience in data cleansing and validation. Your task is to develop an AI-driven solution that identifies, corrects, and prevents errors in financial datasets, ensuring high-quality data for decision-making. The solution should address [DATA SOURCES], such as ERP systems, spreadsheets, and APIs; [ERROR TYPES], including missing values, duplicates, and inconsistencies; and [COMPLIANCE STANDARDS], such as GAAP or IFRS. Provide a step-by-step methodology, leveraging machine learning and rule-based checks, to automate data validation, impute missing values, and flag anomalies. Include metrics like [ACCURACY], [PRECISION], and [TIMELINESS] to measure performance. The output should be a scalable, auditable system that integrates seamlessly with existing financial workflows.