Intelligent Document Processing Solutions

What kind of data can Intelligent Document Processing systems work with?

Intelligent document processing systems utilize intelligent document recognition technology to extract data from a wide range of structured and unstructured documents such as:

• Plain text documents that are straightforward to process
• Parsable documents like DOCX files and text PDFs. These are in text format and just need to be parsed by the computer into plain text. They might be structured, semi-structured,or unstructured documents.
• Documents that require OCR like pictures and PDFs created from pictures. These are more complicated, depending on the quality of the picture.

Our team will work closely with you to understand your business requirements, the type of data processing needed, and advise on the most appropriate IDP tool or custom development approach that will be most cost effective and efficient for your specific needs, ensuring a seamless integration of intelligent document processing into your workflow.

What AI technologies are you experienced with?

As an AI solutions development company with an inhouse cloud DevOps consulting team, we can help you leverage cloud computing platforms such as OpenAI Vision / Azure OpenAI, and Google Document AI or deploy other natural language processing tools.

All these technologies allow us to build powerful, reliable, and cost-effective AI software solutions. Some specific techniques we are experienced with include:

• Optical Character Recognition (OCR) allows for the extraction of text and data from images and scanned documents, enhancing the processing of diverse document formats and structured data within structured documents.
• Named entity recognition is a technique used to identify and classify vital entities within text, such as names, dates, and locations, significantly enhancing data categorization and organization.
• Relationship extraction goes beyond entity recognition by uncovering semantic connections and associations within textual data, providing valuable insights into how information is interconnected within business documents.

How do you ensure the quality and reliability of your intelligent document processing solutions?

Ensuring the quality and reliability of our Intelligent Document Processing (IDP) solutions is paramount in our software development process. Our experienced team is well-versed in managing the complexities that come with IDP projects, and we maintain a strong commitment to quality and well-documented processes to support our projects. Read about our commitment to quality.

Our approach to ensuring rigorous quality control in every facet of IDP development includes:

• Detailed planning: We meticulously plan and document the development process, outlining project goals, objectives, timelines, and deliverables. This proactive approach allows us to track progress, detect potential issues early, and maintain alignment with client requirements.
• Continuous monitoring: Quality is monitored and assessed at every stage of development. This involves automated testing, comprehensive code reviews, and continuous integration. By identifying errors and bugs early in the process, we guarantee that the final product meets the highest quality standards.
• Security and compliance: Holding ISO certifications and adhering to AI security best practices, we ensure that security and ethical considerations are integrated into our IDP solutions. Secure coding practices, penetration testing, and code auditing are employed to safeguard against malicious attacks and align with stringent AI security standards.
• Comprehensive testing: To measure and assess the quality of our final intelligent document processing (IDP) solutions, we employ various testing methods, including user testing, usability testing, and performance testing. This testing is not limited to the project's conclusion; it is conducted iteratively throughout the development process.

Can you integrate Intelligent Document Processing with legacy systems?

Integrating an intelligent document processing system with legacy systems is a strategic step toward modernizing document processing workflows. Our team of experienced AI consultants specializes in seamlessly incorporating IDP solutions into existing tech stacks.

Our approach to integration revolves around three key areas:

• Compatibility and API support: We begin by evaluating whether the chosen IDP solution offers robust APIs or connectors that facilitate smooth data exchange with your legacy systems. Depending on the “out-of-the-box” compatibility, we will decide what custom integration work will be required.
• Customization and configuration: Our team recognizes that each business process has a unique set of challenges and needs. To ensure a seamless integration, we can customize the IDP solution to align with your legacy systems' data formats, protocols, and business rules. This may involve tasks such as mapping data fields, defining workflow triggers, and maintaining data consistency across the new intelligent document processing work.
• Workflow alignment: We understand that the integration of IDP should enhance, not disrupt, your existing workflows. Our experts configure the IDP system to complement your current processes. This includes automating document capture, extraction, and validation steps while ensuring that the extracted data seamlessly integrates into your legacy databases and applications.

What is the typical timeline to automate document processing?

The timeline for implementing intelligent document processing software can vary widely based on the specific project requirements and complexities involved. Several specific factors influence the timeline for IDP solutions, including:

• Document complexity: The variety and complexity of document types impact development time. A simple solution that will handle one document type will require less development time than a more complex IDP system that needs to handle a wide variety of document types and may involve document classification, OCR, and other more advanced processing.
• System integration: Achieving seamless integration of the IDP solution with an organization's existing systems can introduce complexities that influence the timeline. Different business processes, legacy systems, or a heterogeneous IT environment may require thorough testing and adaptation to ensure smooth interoperability and data exchange.
• Customization vs. off-the-shelf: The level of customization required to align the IDP solution with specific business needs has a direct impact on project duration. In cases where businesses seek highly tailored solutions to accommodate unique processes or compliance requirements, the development timeline may extend to accommodate comprehensive planning, development, and rigorous testing phases.

Our team will be happy to provide a detailed project estimate, including development timelines based on your needs. Reach out for a free quote.

How much do your AI consulting and integration services cost?

As with most consulting and integration services, the timeline for projects depends largely on its scope and complexity. Specifically, the timeline for AI solutions can vary dramatically based on:

• The ratio of off-the-shelf tool integration and custom software development required
• If we’re utilizing an existing AI model or training a custom model
• The availability of business data and how well organized and clean it is
• The extent of UI and UX design and development needed

We’ll be happy to review your project requirements and provide you with a detailed software project plan and timeline. Reach out for a free project cost estimate!