Mixed Approach Processing

Modern businesses work with documents that vary in structure, layout, and complexity. Relying on a single extraction method whether rule-based or AI-driven often limits accuracy or flexibility. To overcome this, ChromeIS uses Mixed Approach Processing as a core capability within its Intelligent Document Processing solutions.

This hybrid approach combines rules and AI to extract data accurately while adapting to changing document formats and business needs.

How Mixed Approach Processing Works

Mixed Approach Processing brings together two complementary processing techniques to achieve optimal results.

Rule-Based Processing

Rule-based logic is applied where consistency and precision are essential. It is ideal for fixed fields, predefined layouts, and compliance-driven documents. These rules enforce validation, formatting, and business logic to ensure data accuracy and integrity. It minimizes ambiguity by following deterministic rules, making outcomes predictable and auditable.

AI & Machine Learning Processing

Machine learning models handle documents with variable layouts, nested data, and contextual dependencies. These models recognize patterns, understand relationships between fields, and adapt to new document formats without manual reconfiguration. Extracted data can then be enriched and analyzed further using ChromeIS advanced analytics solutions for deeper business insights.

Built for Scalability and Control

ChromeIS designs Mixed Approach Processing with scalability and control at its core. As document volumes increase or formats change, the system adapts without requiring complete reconfiguration. Rules can be refined for precision, while AI models continue learning automatically giving businesses long-term flexibility without sacrificing governance or reliability. By combining structured logic with intelligent automation, Mixed Approach Processing ensures your document workflows remain accurate, adaptable, and future-ready.