Mojo4Life
While insurance companies can realize savings by onboarding new clients faster, even a small mistake in data accuracy can result in a significant loss of revenue as well as trust. Mojo4Life is designed to mitigate that risk and offer insurers an intelligent, automated Big Data process that is as accurate as it is effortless.
Overview
Mojo4Life takes our proven “straight-through process” model to a new level of automation and accuracy. Now an unlimited number of applications can be processed to a consistent turnaround time, no matter their size. Mojo’s machine learning technology digitizes, transcribes and interprets 50 plus data fields, supported by human verification to achieve true accuracy. Clients avoid typing, and indexing, in favor of having Mojo automatically file data into the Paperclip Virtual Client Folder document management system. In addition, Mojo saves case managers valuable time by fully integrating with popular agency management systems for case creation. This removes the need for touch points, and allows managers to focus on their primary responsibility of servicing and processing new customers.
Example
Imagine that receiving 6 applications with 30 pages and 50 fields of data to collect takes an average of 2 hours to currently process. Mojo4Medicare can process 100 of those applications in the same 2-hour period. That’s the magic of Mojo at work.
Related Solutions
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Contact us to arrange a private consultation with a Mojo4Life specialist, including a live demonstration of the exceptional time and cost advantages available to your firm.
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The first thing Mojo requires is identification of the form at 100% accuracy.
After a template is applied that identifies all areas of interest for digitization, the form is dropped out, leaving data with no context. These are called SnipIts.
Once the template is assigned, Mojo uses a collection of technologies to perform digitization. Those SnipIts that do not digitize at a high level of confidence are shredded and distributed to a Crowd via the Mojo interface. The Crowd transcribes what they see or validates what has been digitized.
When the Snipits are returned they are stored in the shredded data model where further validation presents itself. Once the process is complete, the data is packaged and delivered in the expected format, ie. ACORD 103, JSON, Paperclip XML, csv, or custom.