Transforming a Global Credit Engine : From Fragmented
Workflows to a One Hour Borrowing Base

Background
A global investment institution managing more than 200 private credit ABL facilities needed to modernize its end-to-end data, reporting, and borrowing base processes. Legacy spreadsheet driven workflows, inconsistent data inputs, and fragmented workflows, slowed turnaround times, and increased operational risk. The institution required a unified, scalable platform to standardize data management, automate borrowing base calculations, and provide real-time portfolio visibility for data, reporting, and borrowing base processes.

Challenge
Fragmented, Excel‑driven processes and an incomplete data architecture created significant operational friction across the credit lifecycle. Unstructured data ingestion, manual validations, and siloed ownership increased error risk, slowed reviews, and limited auditability. Disparate systems made it difficult to link facilities, scale workflows, or run cross‑portfolio analytics, while borrowing base calculations and reconciliations required substantial manual effort. Without a centralized, reliable source of truth, teams lacked timely visibility into exposures, breaches, and portfolio‑level risks—diverting focus from higher‑value analysis and decision‑making.

Streamlining Obligor Data Management and Credit Monitoring for a Global Bank

• 90% reduction in human QA time.
• 99% reduction in TAT for borrowing base creation and validation .