Picture this, a world where your document processing runs smoothly, with almost no need for human intervention. Sounds ideal, right? Well, that’s exactly what No Touch Processing (NTP) offers. For years, Straight Through Processing (STP) was considered the gold standard, allowing businesses to automate parts of their document workflows. But here’s a fact —it’s not perfect. STP often leaves room for errors and it still relies on human intervention to correct many of those issues.
Enter NTP—an innovative approach that not only speeds up document processing but also makes it far more reliable. Let’s break down how NTP stacks up against STP and why it is the preferred go-to solution for businesses looking to simplify their workflows and eliminate errors.
STP isn’t as “Straight Through” as it sounds
You might be familiar with Straight Through Processing (STP) which is a traditional method for document processing, primarily designed for fixed-format documents. It’s been around for a while, and for many businesses, it offers a decent process to automate the handling of documents. But, STP isn’t as “straight through” as it sounds. Sure, it automates some parts of the process, but it still leaves room for errors that go unchecked. It often requires human intervention at multiple stages, implying it’s not as seamless as the name suggests.
Here’s how it works in a typical scenario:
- Imagine you’ve got 100 documents with 10 fields in each that need to be extracted (a total of 1,000 fields).
- STP will automatically process about 80% of those fields—so 800 fields just glide through. That sounds great, but there’s a big “but” coming
- Even though those 800 fields went through without being flagged for correction, they aren’t always accurate. Some may have errors, but the system lets them pass, assuming they’re correct
- The remaining 20% of fields, around 200 in total, do need manual review. And because those fields are spread across all the documents, almost every document requires a human touch
So, while STP helps to a certain extent, it doesn’t fully eliminate the need for human involvement. Plus, the risk of errors slipping through the cracks—what we call false positives—is always present. Not exactly the flawless automation you might have hoped for, right?
Introducing No Touch Processing – Strictly hands-off!
This is where documents meet accuracy. NTP is a modern alternative to STP. It takes document processing a step ahead by ensuring the entire document, not just individual fields, passes through the system without human intervention. Claiming the title of a reliable and efficient solution for businesses dealing with high volumes of documents.
Here’s what happens with NTP:
- You’ve still got 100 documents with 10 fields each—so, 1,000 fields total
- But this time, instead of 800 individual fields being processed automatically, 80 entire documents (800 fields in total) are deemed 100% accurate and pass through without any human review
- Only 20 documents (the ones with at least one field that’s flagged as low-confidence) get sent to the correction queue for review
The result? A huge boost in efficiency. NTP doesn’t just improve accuracy at the field level—it ensures that entire documents are processed without needing human involvement, except in cases where it’s necessary. That’s a game-changer for businesses handling large volumes of documents.
STP vs. NTP
So, what’s the real difference between STP and NTP? Let’s break it down:
Why is NTP the Ultimate Solution?
It’s simple—NTP offers better accuracy, less human intervention, and faster processing times. Here’s why it stands out:
- No More False Positives: With NTP, you don’t have to worry about inaccurate fields sneaking through. If a document is processed without human intervention, it’s because the system is 100% confident in its accuracy
- Save Time and Money: Less human review means lower labor costs and faster processing times. Your team can focus on more valuable tasks instead of manually correcting documents
- Fully Automated Extraction & Validation: NTP eliminates the need for confidence thresholds. Documents that meet the system’s strict accuracy standards are processed without review, and only those with uncertain data are flagged.
Conclusion
While STP was once the go-to solution, its limitations are becoming increasingly clear in today’s fast-paced, accuracy-driven environment. NTP, on the other hand, offers a far more reliable, efficient, and scalable solution. Relying on outdated methods like STP is no longer viable. With its document-based approach, reduced false positives, and minimal human intervention, NTP is transforming how businesses handle document processing.
At Infrrd, we’ve already achieved a 65% NTP rate, with plans to reach 70% by the end of the year. But we’re not stopping there—our research team is hard at work, pushing toward the ultimate goal of reaching 90% or more. We believe that with these advancements, NTP will continue to revolutionize how businesses handle document processing, offering a future where human intervention is the exception, not the norm.
Now is the time to embrace the future of document processing with NTP—where accuracy, efficiency, and innovation come together seamlessly.
FAQs
IDP (Intelligent Document Processing) enhances audit QC by automatically extracting and analyzing data from loan files and documents, ensuring accuracy, compliance, and quality. It streamlines the review process, reduces errors, and ensures that all documentation meets regulatory standards and company policies, making audits more efficient and reliable.
Yes, IDP uses advanced image processing techniques to enhance low-quality documents, improving data extraction accuracy even in challenging conditions.
IDP efficiently processes both structured and unstructured data, enabling businesses to extract relevant information from various document types seamlessly.
IDP combines advanced AI algorithms with OCR to enhance accuracy, allowing for better understanding of document context and complex layouts.
IDP platforms can seamlessly integrate with ERP, CRM, and other enterprise systems, ensuring smooth data flow across departments.
IDP leverages AI-driven validation techniques to ensure that extracted data is accurate, reducing human errors and improving overall data quality.