Insurance begins with document intake.

Supercharge yours. With omni:us AI.

Doc intake: Where we stand.

Many insurance organizations are still manually classifying and extracting data.

Use of optical character recognition (OCR) technology, which converts images or scans of text into machine-encoded data, has been low among US insurers.

Couple this with the use of outdated technology to process large volumes of information and you have a recipe for error.  OCR alone would not be enough to tackle your digital transformation project.

More and more insurers see this challenge as an opportunity to improve and reduce the overall costs of processing information.  A realization that AI will free them from historical data bottlenecks and outdated processes that will drive more business growth across the enterprise.

It’s a blank canvas. On it, you can build a competitive edge with smart systems.
And omni:us is here to help.

A short intro to artificial intelligence

new horizons
for document intake

Put simply, AI is software is trained by people to perform human activities.
(See more on why it’s taken off here.)

As with any rapid technological shift, there is uncertainty about what it means for the future. Let’s explore what this technology means for the insurance document intake, classification, and extraction process, and where omni:us is driving it forward. Below, we quickly cover some of the essential components of AI.

Natural language processing (NLP)

NLP enables claims software to better understand documents and text. This text – a first notice of loss, or an invoice – arrives in many forms, from various sources. NLP makes processing this text easier.

Computer vision

Computer Vision is when we give eyes to a computer, so that it can understand what exactly is present in a damage photo, document scan, or video stream. This is extremely powerful when applied to claims.

“NLP is basically trying to enable machines understand human language whether it’s spoken or written. Now this is a very ambitious goal and we know that. But on our way to get there, we have been able to create extremely useful applications that partially understand, translate, and respond to questions and statements in natural language.”
Dr. Meghdad Fahramand
Senior Data Scientist, omni:us
Enterprise scale ai

the omni:us Claims Suite

The magic of omni:us?
Artificial intelligence that can train various lines of business,
without any extra scientific expertise.

We offer a suite of tools built on NLP and computer vision techniques. These have been developed specifically for document intake and claims management processes. Our tools can support or automate all types of data: structured, semi-structured or unstructured. You can quickly deploy AI into your claims processes, tackling specific use cases throughout the claims value chain.

1

Innovate document intake with a hybrid approach

omni:us creates an environment where both human and machine compliment each other in a thriving hybrid workflow.

2

Build your own machine learning models

and create a tool designed to your specific use case, like increasing the speed and accuracy of your digital intake.

3

Leverage the cutting-edge

without requiring further AI/data science expertise. omni:us sits conveniently within your claims landscape and core system infrastructure.

Compound documents: files or attachments with multiple sub-documents. We know they’re a pain. Which is why we view the classification process as a dual task: executed both at document level and at page level. With omni:us, you can isolate specific documents and put them where people can find them, easily.

Rupin Mago, VP Sales North America

OUR ARCHITECTURE

Built to Perform at Scale

Enterprise-Scale

Largest installation processes peak load of 12.000 pages per hour

Extensible

Seamless addition of new modules as additional Micro-Services

Scalable

Scale services within modern enterprise architectures
(e.g Enterprise Service Bus)

Why Omni:us?

Our mission is to enhance insurance industry processes and workflows by simplifying the claims handling life cycles. omni:us understands the value of automation by identifying key processes to shorten cycle times, enhance customer expectations, increase employee satisfaction, and improve data integrity to create better outcomes in the overall claims handling process.

Get in touch today!

Contact us to learn more about intelligent claim automation.