RAGE-AI Case Studies


RAGE Genpact FDA

Genpact Front Desk Automation (FDA) is an AI-powered intelligent machine that automates the entire lifecycle of handling
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RAGE LiveWealthTM Fund Manager Due Diligence

Dramatic reduction in the cost, time and friction associated with due diligence of funds; may enable the
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RAGE LiveWealthTM

With RAGE-AI™ they reduced operating costs by over 50%, from $15M to $7M. Multi custodian aggregation, performance
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RAGE LiveCreditTM

End-to-end lending solution for a global financial institution [interfaces to 50 internal systems, 200 screens and 250
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Credit Card Underwriting

The solution was designed and implemented for 14 products, in 10 languages, in 15 countries, supporting 1,200
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RAGE LiveSpreadTM

Aggregation, extraction and normalization of data from unstructured financial statements, bank statements and income tax returns presented
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Client Onboarding

Reduce three month on-boarding time for each client to a day-and-a-half; allowed the TPA to process employee
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RTITM : Real Time Intelligence Cap Markets

RAGE-AI™ is a completely tractable / traceable solution, where every piece of analysis can be traced back
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RTITM : Real Time Intelligence Credit & Supplier Risk

Continuous monitoring of credit/supplier risk across hundreds of risk dimensions from 100,000 news sources globally Business Problem
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Customer and Market Intelligence

Systematized and consistent availability of the most current industry intelligence, interpreted and presented in a personalized manner
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Sales Lead Generation

Almost immediately, the automated solution delivered 200 times more relevant sales leads as compared to the previous
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RAGE KYC Framework

Fully tractable / traceable solution, where every piece of analysis can be traced back to the source
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Customer Service Intelligence

By using RAGE-AI™ automated system more customer service data could be analyzed in new data sources, including
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Automated Contract Review

RAGE-AI™ proactively identified up to 5% revenue leakage with automated contract review. Review and understand large volumes
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Data Quality Monitoring

A working prototype was ready within 10 days for the customer to rapidly assess efficacy with no
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Supply Chain Financial Plan Vs. Actuals analytics

The automated solution significantly improved the company’s approach to outbound logistics cost auditing and integrated cost planning.
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