REPAY Holdings: AI-Led API Modernization on AWS

Modernizing legacy SOAP integrations into a scalable REST platform using AI-assisted conversion, structured validation, and phased merchant migration.

Challenges

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    REPAY maintained more than 60 vendor integrations built on legacy SOAP services.

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    RunTransaction v1.2 request mapping was complete, but response parsing, schema mapping, and error handling remained unfinished.

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    API dependencies and production usage patterns were distributed across Reporter and Adapter logs.

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    Conversion activities required repetitive manual mapping, development, testing, and troubleshooting.

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    Merchant-specific configurations increased validation effort and rollout risk.

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    REPAY needed to determine whether AI-assisted conversion could meet accuracy, maintainability, and security expectations.

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    The team lacked a repeatable approach for prioritizing and sequencing the broader integration portfolio.

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    Financial benefits, delivery effort, and expected cost avoidance had not yet been fully quantified.

REPAY Holdings: AI-Led API Modernization on AWS

NuVista AI's Solution

NuVista AI designed an AI-assisted API conversion approach that combined architecture assessment, traffic analysis, Amazon Bedrock experimentation, reusable development patterns, and phased merchant validation. The initial engagement focused on proving the conversion model with RunTransaction before extending it across REPAY's wider vendor portfolio.

API Discovery and Conversion Planning

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    Reviewed the existing AWS environment, SOAP services, REST components, and integration dependencies.

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    Analyzed Reporter and Adapter traffic to identify high-volume and high-value endpoints.

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    Grouped APIs by business function, dependency, complexity, and migration priority.

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    Defined a phased roadmap for expanding the approach across more than 60 vendor integrations.

AI-Assisted SOAP-to-REST Conversion

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    Used Amazon Bedrock in a controlled environment to support SOAP service analysis and conversion.

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    Accelerated request and response mapping, schema transformation, and code-generation activities.

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    Created reusable patterns for error handling, response parsing, and validation.

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    Required engineering review of all AI-generated outputs before implementation.

RunTransaction and Merchant Migration

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    Completed the planned response-side mapping for RunTransaction v1.2.

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    Defined parsing, schema mapping, edge-case handling, and unit-testing requirements.

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    Used the first merchant to validate the full end-to-end integration process.

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    Planned migration and validation activities for 14 additional merchants.

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    Supported QA, pre-production validation, deployment troubleshooting, and post-release stabilization.

The Outcome

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    Established five coordinated workstreams covering architecture, API analysis, AI conversion, financial modeling, and migration planning.

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    Defined a 280-hour delivery plan for RunTransaction completion and merchant rollout.

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    Created a repeatable validation model using one initial merchant followed by 14 phased merchant migrations.

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    Developed reusable conversion, mapping, testing, and troubleshooting patterns.

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    Reduced the risk of scaling AI-assisted conversion without engineering oversight.

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    Produced a target architecture, migration roadmap, cost model, and executive decision framework.

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    Created a scalable foundation for modernizing REPAY’s remaining vendor integrations.

Company:

REPAY Holdings

Overview:

REPAY is a financial technology company that provides integrated payment-processing solutions through a broad network of software and technology partners.

Value Provided:

NuVista AI helped REPAY define a scalable approach for converting legacy SOAP integrations into its REST-based platform on AWS. The engagement combined AI-assisted conversion, technical validation, merchant testing, and phased migration planning to reduce repetitive engineering effort and improve modernization readiness.

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