Putting customers first is more than just a platitude.
Over 60% of people switch insurers because of a negative customer experience.
Exceed expectations when interacting with your policyholders
to boost revenues and reduce customer churn.
Tech has changed the game: the omnipresent digital world of today has dazzled consumers with choice and convenience. Competition is now on the basis of experience.
Drive the future of claims: seize the opportunity and rethink your customer journey with speed and transparency. Fire up your NPS (Net Promoter Score) by inspiring loyalty among your policyholders.
with all relevant information & decision support at hand.
by automating data-intense, non-customer facing workflows.
by responding fast, transparent & insight-driven.
omni:us is bridging the gap between legacy insurance processes and intelligent systems. Leverage cutting-edge machine learning technology and revitalize your customer journey from the ground up. By automating non customer-facing workflows and offering valuable decision support to claims agents, you can realign around the immediate needs of policyholders.
It’s what insurance is all about.
“This is the new bar. If you can’t clear it, other firms will.”
Consistently greet customers with up-to-date, comprehensive data about current claims or service histories.
Offer a sensationally speedy claims service by leveraging omni:us’ increased automation and decision support.
Communicate with customers via their channel of choice, and reassure them with the constant option of empathetic personal interaction.
omni:us is the leading provider of AI-powered End-2-End insurance claim automation. We are here to deliver the ultimate claims experience: for policy holders, as well as claims adjusters with adaptive processes to deliver speed, instant feedback & transparency, whilst drastically reducing process costs and reducing leakage across all channels.
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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