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The volume of data available to insurers is increasing exponentially.
In the past, process was king.
But today, insurers who make decisions based on data rise to the top.
When data drives actions, everybody wins.
Every claim is a series of decisions and actions.
omni:us automates data-intense workflows and generates holistic claims profiles.
This allows claims teams to make contextual, data-driven decisions.
Decisions are based on the data available –
and not limited by the requirements of your process.
Gather all relevant information and generate structured data from policy and claims documents.
Combine claims domain knowledge with validated data to automate decisions.
Automate processes with AI-powered decision support along the claims value chain.
These bottlenecks prevent you from providing a best-in-class claims service. Break down information silos between lines of business and see the bigger picture.
omni:us unlocks a deep level of actionable data from all relevant sources, phasing out processes which sideline vital information. With a controlled flow of data between departments and entities, the claim is settled quicker and with more accuracy. Both the insurer and the insured stand to benefit.
Largest installation processes peak load of 12.000 pages per hour
Seamless addition of new modules as additional Micro-Services
Customers apply & configure AI platform models with their own data.
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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