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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Talygen Expense Tracker Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
USIC Professional Services 12000 $3.0B United States Talygen Talygen Expense Tracker Expense Management 2019 n/a In 2019, USIC implemented Talygen Expense Tracker as part of a unified finance suite supporting billing and invoicing. The deployment targeted the finance and billing function in the United States and positioned Talygen Expense Tracker within the company Expense Management footprint to centralize expense capture and reporting. The implementation centered on a unified billing and invoicing platform that incorporated the Talygen Expense Tracker module within an integrated finance, time, and expense suite. Configuration activities consolidated 12 to 13 disparate databases into a centralized data model to standardize billing, invoicing, time capture, and expense reconciliation workflows. Operational coverage focused on finance and billing teams in the United States, with the project updating daily ticket processing and expense reporting processes. Integrations were executed through the consolidation of existing databases into the Talygen application, enabling a single authoritative record for transactional, time, and expense data without introducing named third party systems. Governance and process changes included centralizing billing ownership and standardizing ticket handling and expense approval workflows during rollout. Explicit outcomes reported from the engagement include consolidation of 12 to 13 disparate databases and a reduction in daily ticket processing time from about 10 to 12 hours to roughly 2 to 3 hours.
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