Intelligent Document Processing Services

Organizations are increasingly seeking ways to harness the potential of their data for growth and digital transformation. Despite the abundance of data, much of it remains unstructured and buried in documents, emails, and PDFs. Intelligent Document Processing (IDP) leverages AI technologies such as Natural Language Processing (NLP), Computer Vision, and Machine Learning (ML) to convert this unstructured data into actionable insights, automating document-centric processes and freeing up human talent for higher-value tasks.

AgreeYa Solutions, a global systems integrator, leads the way in Hyperautomation technologies. With substantial investments in our proprietary automation platforms and strategic partnerships, AgreeYa has emerged as the go-to partner for IDP services. Our solutions empower organizations to leverage the full potential of IDP, delivering increased efficiency, enhanced accuracy, significant cost savings, improved compliance, and superior data management. By automating and optimizing document processing tasks, we elevate business operations and drive operational excellence, enabling our clients to achieve their
digital transformation goals.

What is Intelligent Document Processing?

Intelligent Document Processing (IDP): leverages advanced AI and machine learning technologies to automate the extraction and analysis of data from various types of documents. By efficiently handling structured, semi-structured, and unstructured data, IDP significantly enhances accuracy, efficiency, and scalability. This transformative approach revolutionizes document management, empowering modern businesses to streamline operations and make data-driven decisions with greater precision and speed.
Key Technologies Involved:
- Optical Character Recognition (OCR)
- Machine Learning (ML)
- Artificial Intelligence (AI)
- Natural Language Processing (NLP)
- Robotic Process Automation (RPA)
- Computer Vision
- Cloud Computing
- Human-in-the-Loop

How Does IDP Work?

Input: Documents can be imported via email, scanners, network folders, and more, ensuring seamless integration into existing workflows.
Classify: Advanced classification algorithms automatically identify and categorize documents, further optimizing the document processing pipeline.
Capture: Extract data fields effortlessly using machine learning, eliminating the need for predefined templates.
Validate: Ensure the accuracy and completeness of extracted data through rigorous validation processes.
Verify: Address and correct exceptions arising from scans or document quality issues to maintain data integrity.
Export: Output data in various formats, including CSV, XML, TIFF, PDFs, and more, for seamless integration and utilization.
Learning & Adaptation: Continuously learn and adapt to new data, ensuring the system remains robust and vital over time.

Capture and Extract Information Rapidly from Documents

Increase Efficiency

Accelerates document handling and processing, quicker task completion,
decision-making.

Gain Cost Savings

Reduces labor costs and operational expenses by minimizing
manual processing.

Better Data Management

Transforms unstructured data into structured information for easy storage
and retrieval.

Enhance Accuracy

Minimizes human errors in data entry and handling to deliver reliable
data quality.

Improve Compliance

Ensures regulatory compliance with accurate processing, secure storage, and detailed
audit trails.

Enhance Customer Experience

Speeds up customer responses and ensures accurate
document processing.

Make Sense of Unstructured Data with AgreeYa’s Free Consultation Session

AgreeYa helps organizations capture, map, analyze, and automate processes to help teams assess, prioritize, and fast-track automation initiatives and decision-making cycles.

What’s Covered in Our Intelligent Document Processing (IDP) Services

Assessment and Planning: Determine specific objectives, document types, and requirements for IDP implementation. Create a detailed plan and choose the appropriate IDP technology and tools.
Technology Selection: Compare different IDP solutions based on features, scalability, and compatibility with existing systems.
System Integration: Design how the IDP system will fit into the current IT infrastructure and business applications. Implement the IDP solution and connect it with other systems such as ERP, CRM, or document management systems.
Customization and Configuration: Adjust the IDP system to meet specific business needs, including custom data extraction rules and workflow automation. Configure the system for optimal performance, user roles and access controls.
Training and Onboarding: Educate staff on using the IDP system and managing document processing tasks. Provide continuous support and resources to help users adapt to the new system.
Optimization and Maintenance:Regularly assess system performance and accuracy to identify improvement areas. Apply updates and upgrades to keep the IDP system up and running and aligned with technological advancements and evolving business needs.