I’m implementing an AI-driven automation setup for Eminence Technology to process documents such as invoices, forms, and contracts. The system needs to extract data accurately, handle variations in layouts, and manage exceptions like unreadable files or missing information. At the same time, I must ensure data privacy and comply with regulatory requirements. What tools, workflows, or validation methods can help improve accuracy rates, reduce manual intervention, and maintain consistent output quality in a real-world automation environment?