Seamless Banking Transition with API Integration for Inspira

Seamless Banking Transition with API Integration for Inspira

time-icon 5 min

IN A NUTSHELL

Reduced operational costs by 25% through streamlined automation
Enhanced transaction processing speed by 40%
Improved data accuracy by 30%, boosting overall customer satisfaction

About Client

Inspira is a US-based financial company that recently combined with Millennium Trust Company and PayFlex. Specializing in health, wealth, retirement, and benefits, Inspira collaborates with both businesses and individuals to deliver comprehensive financial services and solutions tailored to diverse needs in the financial sector.

 

01

What Was the Challenge

The client faced challenges involving complex business logic and unclear process requirements across several operational areas. These issues made transaction processing and integration cumbersome, slowing down operations and increasing error rates. As Inspira aimed to enhance efficiency while maintaining data integrity and ensuring smooth interactions with banking partners, a robust and scalable solution was necessary

02

How We Solved the Problem

Our team deployed Salesforce as the core internal transaction processing platform, storing transactions from Innovest and direct data entries. We utilized MuleSoft as the central integration hub, automating processes internally (Innovest-Salesforce) and externally (Inspira-Bank). The integration leveraged an API-led connectivity model, implementing advanced features such as:

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Queue Messaging

Utilizing event-driven patterns to ensure reliable message handling

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Database Transaction Management

Multi-threading, data pagination, and secure data policies in MuleSoft middleware applications optimized transaction efficiency

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Synchronous and Asynchronous Automation

Streamlining processes to guarantee safe, traceable, and high-performance transaction handling

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Enhanced Security Measures

Applying strict security protocols to maintain data integrity and regulatory compliance

04

The results

25% decrease in expenses
40% reduction in transaction times
30% fewer errors, reliable data
20% boost from error-free operations
30% increase in data capacity

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