Introducing the omni:us Digital Claims Adjuster
True end-2-end claim Automation Starting Day One.
Faster, AI-powered claims decisions and workflows to boost customer satisfaction, reduce process costs & empower your team.
Faster, AI-powered claims decisions and workflows to boost customer satisfaction, reduce process costs & empower your team.
The omni:us Digital Claims Adjuster enables seamlessly integrated end-2-end claims automation within existing insurance systems.
Integrated reference claims processes and a comprehensive, AI-powered claims decision catalogue, help reduce process costs by up to 35 percent – while drastically increasing customer satisfaction and efficiency.
Easy integration with major core & legacy systems to access relevant policy and claims information.
The omni:us DCA SaaS solution comes out-of-the-box with all it takes to process low to medium severity claims from First Notice of Loss (FNOL) to creation of the payment without human intervention in any given core system. For more complex claims, omni:us takes over tedious tasks so that human adjusters can fully focus on damage assessment.
On the way to becoming a data-driven claims organization, omni:us helps insurers to expand their skills and employee capacities in a targeted manner and drive the transformation process forward through deep domain expertise, new technologies, agile structures, stakeholder involvement and process awareness.
Learn more about UNIQA’s colaboration with omni:us to automate the processing of ‘high-volume-low-severity’ claims – with the insurer’s clear goal to master the conflict of interest in fulfilling overall business requirements: cutting costs whilst increasing customer satisfaction.
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.
omni:us collaborates with leading insurance-focused business consultants and implementation partners to leverage our advanced AI & insurance expertise – and deliver incredible, transformative insurance success stories for leading insurers worldwide.
We are more than honoured to have Allianz Austria as our #end2end #claims #automation customer🚀
Working with AXA on #ClaimAutomation: In recent years, I have participated in many conversations and panel discussions regarding the difficulties surrounding collaboration between the #corporate and #startup world - and yes, it’s incredibly challenging for both sides. In the spirit of our ongoing collaboration, I wanted to highlight the dynamic spirit of the AXA team led by Audrey Amiot, Chief Transformation & Operations Officer at AXA Belgium. Their profound tech affinity, compelling speed and invigorating hunger for #innovation are the key reasons why we have achieved remarkable successes to date as we both collectively aspire to revolutionize claim automation in the #insurance industry....
More than thankful that Thomas Buberl, CEO of AXA, took time to listen to our vision 🚀 Exchanging notes with one of the most influential leaders in our space means a lot to me.
The claim automation revolution has started💫
We are delighted to announce the closing of our €12M Series A+ extension round with participation of Württembergische Versicherung 🚀
“There were no structured data inputs required for getting to as much as 80% automation level just by using the technology omni:us has in place.” 
Co-Founder and CEO Sofie Quidenus-Wahlforss takes up the position of Executive Chairwoman Current Chief Product
W&W subsidiary Württembergische Versicherung joins financing by existing investors omni:us enables insurers to achieve AI-powered
We sat down with our wonderful Data Scientist, Diede, to gain some insight about her
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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