IDP has become a core part of modern verification workflows, helping agencies turn documents like pay stubs and W2s into structured data in seconds. But as adoption grows, so does an important question: should document processing be fully automated, or should humans stay involved?

The reality is, both approaches play an important role and the right answer depends on your workflow, risk tolerance, and coverage strategy.

The appeal of instant IDP

Fully automated IDP promises speed and scale. Documents are uploaded, parsed, and returned in near real time, reducing turnaround times and creating a more seamless applicant experience.

For clean, standardized documents, this approach works well. It enables teams to process high volumes efficiently while keeping operational costs low.

But automation has limits. Document quality varies widely, formats are inconsistent, and edge cases are common. Even highly accurate systems can struggle with blurry uploads, nonstandard layouts, or incomplete information. In practice, it’s also common for applicants to submit the wrong documents altogether. Small errors in data extraction can lead to larger downstream issues, such as unjustified denials, errors, or lengthy delays

Where human-in-the-loop adds value

Human-in-the-loop models introduce manual review where it matters most: low-confidence extractions, complex documents, and higher-risk scenarios. Critically, this review is conducted by the vendor's team, not the agency or the applicant.

This added layer drives accuracy above 99.9%. Human reviewers catch inconsistencies that fully automated systems can miss, ensuring extracted data aligns precisely with what was submitted and what eligibility or compliance decisions actually require. In environments where data quality has direct consequences, that confidence matters.

The tradeoff to human-in-the-loop’s 99.9%+ accuracy rate is a turnaround time averaging from 7 to 12 minutes, which is still significantly faster than teams are able to manually review documents internally. 

How leading teams use both

In practice, the most effective approach is not choosing between instant IDP and human review. It is combining them.

Automation handles the majority of documents quickly and efficiently. It also flags to applicants in real-time when an uploaded document is the incorrect type of document, the image is unreadable, or it’s not within the desired date range (like a pay stub that is months old).

Human-in-the-loop models are leveraged after the fully automated solution, to ensure maximum accuracy in data extraction and allow clients to maintain automated document review.This approach strikes the desired  balance between speed and accuracy.

How Argyle approaches document verification

At Argyle, IDP is part of a broader verification strategy, not the starting point.

Whenever possible, Argyle helps customers avoid documents altogether by connecting directly to payroll and financial data at the source. This eliminates many of the challenges IDP is designed to solve, including inconsistent formats, manual uploads, and document fraud.

We also know that not every customer is comfortable or familiar with these payroll connection tools.  So when documents are required or preferred, Argyle supports both fully automated and human-in-the-loop IDP workflows.

Some customers prioritize speed and leverage automation for faster turnaround times. Others layer in human-in-the-loop models to meet stricter accuracy and compliance requirements. Many use a combination to fully optimize workflows without sacrificing accuracy.

This flexibility is key. Verification is not one-size-fits-all, and workflows often require different levels of confidence at different stages.

‍