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UNLOCKING THE AI-POWERED & DATA-DRIVEN CLAIMS JOURNEY

The AI Roadmap

omni:us data-driven, modular tools for insurers which automate data-intense workflows – empowering your claims teams to act with greater accuracy and care.
Unlock an AI-powered and data-driven claims journey and supercharge your insurance business for the future.

 The omni:us platform allows you to quickly deploy AI into your claims processes.

COGNITIVE INFORMATION PROCESSING

Gather all relevant information and generate structured data from policy and claims documents.

Convert data to claims processing language

Combine claims domain knowledge with validated data to automate decisions.

AI-POWERED DECISIONS & RECOMMENDATIONS

Automate processes with AI-powered decision support along the claims value chain.

the Cognitive Automation Layer

Dynamic Middleware for
Claims IT Infrastructures

omni:us acts as an interface between insurance core systems, third-party solutions, and inbound customer communications. Our AI product acts as a smart link between these otherwise isolated systems. By uniting them, you capture true business value.

Selected Case Studies

The Ultimate Claims Journey

 Straight through processing in 4 essential steps. Supercharge your claims process, from FNOL to resolution.

Completeness Check

Claims Journey FNOL

Claims Indexation

Claims Journey FNOL

Coverage Check

Claims Journey FNOL

Real-Time FNOL

Claims Journey FNOL

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.

More reasons to choose omni:us

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Learn more about intelligent claims.

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omni:us is proud to be one of Europe‘s Horizon2020 SME-Instrument and Fet Flag Champions.
We are grateful to have received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 820323; 850053.

Co-financed by European Fund for Regional Development (EFRE)
Pro Fit-Project “Vollautomatisierung der Wertschöpfungskette im Digitalisierungsprozess von Archivdaten” with support of IBB/EFRE in 2016/2017.

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