Driving API Lifecycle Quality Using Standardization and Automation for a Bank
Industry & Segment
Banking & Financial Services
Objective
To support the bank’s rapidly expanding digital ecosystem by establishing a scalable, standardized API quality framework that ensures high‑speed, reliable delivery across key journeys such as term loans, BNPL, and fintech partner integrations.
Partners
Elastic
Client Overview
A leading bank was rapidly expanding its digital ecosystem across retail lending, payments, and fintech partnerships. With APIs powering key journeys such as Term Loans, BNPL, and integrations with fintech partners, the bank needed a scalable and standardized approach to ensure high-quality delivery at scale.
Engagement Overview
QKTech partnered with the bank to launch a MuleSoft-based API Factory as part of a co-owned program to embed quality across the API lifecycle. Leveraging the AI Buddy platform, the engagement introduced API standardization, automated test case generation, service virtualization, and daily regression runs, enabling faster partner onboarding and resilient digital operations.
Business Challenges
Manual testing bottlenecks
Thousands of APIs across multiple projects required significant manual effort, leading to delays and inefficiencies.
Lack of standardization
RAML specifications and test case designs varied widely, reducing predictability and introducing inconsistencies.
External dependencies
APIs relied on third-party services such as NSDL, Karza, and Cersai, creating blockers and additional costs.
Poor user experience
Validating complex API call chains across SIT and UAT environments was critical to ensuring reliability under load.
Time‑to‑market pressure
Rapid partner onboarding for fintechs like Airtel and GPay required accelerated, high-quality releases.
QKTech’s Solution
QKTech implemented a comprehensive, automation-first solution for assurance transformation that addressed each challenge
Unified API quality framework
- QKTech began by establishing a standardized foundation for API quality, introducing a RAML standardization checklist that covered more than 100 common fields across APIs to ensure uniformity in design and implementation.
Automation at scale
- QKTech used custom Python utilities to auto-generate test cases from RAML/OpenAPI and unified JMeter scripts for combined functional and early performance testing.
Service virtualization
- QKTech virtualized over 200 services and 450 endpoints (simulating third-party systems like NSDL, Karza, and Cersai) to enable uninterrupted testing, advanced fault-tolerance checks, and heavy-load simulations without external dependencies.
Non-functional and security testing
- The solution embedded non-functional validations like fault tolerance, circuit breaker, and health checks, and strengthened security with customized checklists for policies such as JWT token enforcement and secret key handling.
Reusable test assets
- Automation scripts created for the Term Loan journey were reused across partner projects like Airtel and applied seamlessly across functional, performance, and UAT testing, resulting in significant time and cost savings.
Strategic Outcomes
Accelerated Partner Onboarding
Enabled faster go-live for fintechs and ecosystem players such as Airtel, Flipkart, GPay, and Groww.
Significant Effort Savings
Delivered a savings of 1,300+ person-days per month through automation and reusability.
Enhanced Time-to-Market
Reduced regression cycles from days to hours, ensuring rapid releases for competitive advantage.
Resilient Operations
Performance-tuned APIs supported high customer demand without service degradation.
Future-Ready Testing Fabric
Established scalable practices for continuous assurance across new digital initiatives.
Results Achieved
100%
field-level validation automation implemented
85%
end-to-end API call chain automation achieved
25,000+
test cases designed and automated
6,000+
Regression testing time reduced from 6 days to just 2 hours
1,100+
APIs tested and signed off, covering over 1,100 endpoints
400+
APIs performance tested
200+
endpoints virtualized, reducing the cost of third-party services
Business Impact
The program ran in five stages, from assessing the current process to building an analytics foundation on the new data.
Operational Transformation
- Real-time transparent reporting enabled through AI Buddy dashboards
- Faster feedback loops allowed in-sprint validation and early performance testing
- Seamless CI/CD/CT integration ensured continuous testing and quicker releases
- No performance-related production issues observed post go-live
Quality Assurance Excellence
- Unified and predictable API testing ecosystem established
- Zero showstopper issues in production across partner journeys
- Robust test, evidence management, and security validation embedded in the lifecycle
Innovation Highlights
The API Factory engagement introduced several innovations that transformed the bank’s approach to API quality. The AI Buddy platform unified test execution, regression automation, and CI/CD integration with real-time dashboards, while custom Python utilities enabled automated test case generation directly from RAML and OpenAPI specifications, eliminating manual effort.
Large-scale service virtualization of more than 200 services reduced costs, removed external dependencies, and enabled realistic fault-tolerant testing. Reusable automation assets created a portable framework that accelerated partner onboarding, and integrated security and non-functional validation ensured resilience, reliability, and production readiness across every API journey.
Conclusion
This engagement demonstrates how an automation-first, API-led approach can de-risk large-scale digital change while accelerating delivery.
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