The New Approach: Empower Your Team

Human in the Loop AI: The Future of Insurance Efficiency

SortSpoke's human-in-the-loop AI combines powerful machine learning with expert oversight, ensuring insurance professionals stay in control at all times.

Handle even the most complex documents in a fraction of the time
Maintain complete control over the process 
Achieve better outcomes without compromising on human experience

See how to empower your team

DEFINTION

Human in the Loop (HITL) is an AI approach that combines machine intelligence with human expertise, creating a collaborative system where AI handles initial data processing while humans provide oversight, validation, and judgment.

In document processing, HITL enables AI to extract information from complex materials while allowing human experts to verify accuracy, interpret context, and make nuanced decisions that require domain knowledge—creating a system that's more accurate and trustworthy than either humans or AI working alone.

AI extracts data efficiently from complex documents
Humans validate results and handle nuanced decisions
The system continuously improves from human feedback
Creates transparency and accountability in AI processes

Why Human in the Loop AI Matters for Insurance

In complex insurance environments, fully automated solutions create more problems than they solve. SortSpoke's human in the loop AI recognizes that underwriters bring irreplaceable expertise, judgment, and contextual understanding that technology alone cannot replicate.

Our platform is built on a fundamental belief: the most powerful automation solutions don't replace humans—they amplify human capabilities through a thoughtful human in the loop AI design.

Augmentation, Not Automation

How SortSpoke's Human in the Loop AI Works

The most successful automation implementations follow an augmentation or human-in-the-loop approach rather than a replacement philosophy. Technology handles repetitive, data-intensive tasks, while human expertise focuses on judgment, relationship management, and complex decision-making.

Our human-in-the-loop AI process works through five key stages:

AI-Powered Extraction

Machine learning and LLMs extract key information from complex insurance documents without templates, providing the initial intelligence in our human in the loop AI process.

Intuitive Validation

Insurance professionals review extracted data through a simple interface that displays both the source document and results, maintaining the crucial human element in our human in the loop AI system.

Expert Oversight

Humans apply their insurance expertise to validate accuracy and completeness, particularly for nuanced information that requires judgment—the defining characteristic of human in the loop AI.

Feedback & Learning

Every correction improves the system, creating a continuously evolving human in the loop AI solution that gets better over time.

Seamless Integration

Validated data from our human in the loop AI flows directly into your existing insurance systems and workflows.

HITL Use Cases

Extract Key Data 90% Faster

Underwriters extract data in a fraction of the time, with 100% human oversight — every field either clears the confidence threshold you set, or your reviewers make the call.

See how to move faster with SortSpoke

Prioritize High-Value Submissions

Not all submissions are created equal. Your team can customize triage rules and leverage intelligent prioritization to focus on the right risks that are most desired to bind.

See how to prioritize with SortSpoke

Powerful, Simple, and Traceable

Underwriters can efficiently extract data with a system that’s easy to use and ensures every piece of data is traceable—without ever compromising on accuracy, even for the most complex submissions.

See how SortSpoke helps you stay in control

5X

Process incoming submissions 5X faster while maintaining control.

100%

Human oversight on every field — fast extraction, verified by your experts

50%

Increase submission to quote ratio by 50% in as little as 30 days.

Which Platforms Offer Human-in-the-Loop Document AI?

Human-in-the-loop document AI means a person reviews and corrects the model's output before the extracted data is used. Vendors implement it three ways: sampling-based quality assurance after the fact, exception-only review of low-confidence items, and field-level verification of every value against the source document. SortSpoke is one of the few built around the third.

Sampling-based QA

A percentage of processed documents is checked after the data has already moved downstream. It measures quality but does not prevent a bad value from reaching an underwriter, which is why it suits reporting workloads more than underwriting ones.

Exception-only review

The model flags low-confidence extractions and a person handles only those. It is efficient, and its weakness is confident errors: a value the model is sure about and wrong about never reaches a reviewer.

Field-level verification, and how real-time corrections work

Every extracted value keeps a link to its source location, so a reviewer clicks a field, the document jumps to and highlights where the value came from, and the reviewer confirms or corrects it there instead of re-reading the page. Corrections apply immediately to the output record as the reviewer works, rather than being queued for a separate cleanup pass, which is what makes the loop real-time rather than batch. The trade-off is honest: this is more reviewer time per document than exception-only review, and it is the reason the output can be defended field by field.

What our clients say about their results.

P&C Manager

SortSpoke Customer

"Feedback has been positive. The system is intuitive, so there was limited training. People are really excited about the process and what they can do with SortSpoke. We’re seeing good adoption.”

Manager, Global Digital Underwriting

RGA International

"We’ve achieved great accuracy levels with SortSpoke. The training time was really quick and easy. We evaluated quite a few different systems and SortSpoke really stood out among the others"

Assistant VP of Analytics

Sortspoke customer

“I really like SortSpoke because of the ability to extract information from unstructured documents in a user-friendly, interactive way. No other product on the market does that. Others want you to create models, and pull information out, but they don't have the same kind of interface that allows you to correct through workflow."

VP Underwriting Business Solutions

RGA

“SortSpoke has made one of the messiest and most manual problems in underwriting easy to solve. Turning documents into high-quality data is a core capability that enables RGA to deliver the future of digital life underwriting with faster review times, better risk assessment and greatly reduced the manual effort."

Assistant VP of Analytics

SORTSPOKE CUSTOMER

"You guys are my favorite people.SortSpoke is my favorite vendor by far, and I don't say that lightly. I work with a lot of vendors."

Human in the Loop AI: The Future of Insurance Efficiency

Why Human in the Loop AI Matters for Insurance

AI in underwriting should complement your team, not replace them — the value of their experience is unmatched.