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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Enlyte ePay Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Lemonade Insurance 1235 $429M United States Enlyte Enlyte ePay Payment Processing 2025 n/a In 2025, Lemonade selected Mitchell’s DecisionPoint for medical bill processing and claims workflow to support its new Lemonade Car product in the United States. Given DecisionPoint’s published integration with Enlyte, the use of Enlyte ePay for Payment Processing, specifically for electronic provider payments and automated remittance, is inferred from the announced DecisionPoint deployment rather than from a standalone Enlyte case study. The implementation centers on DecisionPoint modules for medical bill processing and claims workflow automation configured to handle auto casualty and medical bill handling, and these modules drive payment triggers linked to the Payment Processing layer. Enlyte ePay is restated as Enlyte ePay and is inferred to provide electronic provider payment execution, remittance advice automation, and payment file orchestration consistent with Payment Processing functional terminology. Operationally the scope covers Lemonade’s claims organization and payment operations for Lemonade Car in the United States, with system integration tying claims adjudication to payment execution. Governance implications include configuration of claims workflow triggers, adjuster payment authorization controls, and reconciliation touchpoints between claims processing and payment systems, supporting the stated goals of improved claims automation and adjuster efficiency.
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