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QKTech Accelerates Quality and Payments Readiness for a Leading Super App Using AI‑led Automation

Industry & Segment

ISVs & SaaS Platforms

Retail

Objective

To deliver a high‑quality super app customer experience by enabling robust payments infrastructure. This was achieved through NPCI compliance, stable partner integrations, and omnichannel journey validation across aggressive release timelines.

Client Overview

The client is a leading digital platform owned by a large enterprise group, designed to unify customer journeys across multiple brands through a single super app experience.

Why QKTech

The client required a quality engineering partner who could combine delivery rigor with domain depth in payments, including automation at scale across API and UI layers.

Across multiple releases, QKTech combined automation-led quality engineering, customer experience validation, and risk-based governance for accelerated release readiness. The engagement spanned multiple releases with a focus on critical payments journeys, NPCI compliance milestones, and UPI and other partner integrations.

Business Challenges

Payments integration complexity and compliance pressure

The platform required rigorous validation of UPI issuing flows, NPCI compliance readiness, and multiple payment modes across app and web journeys. Any compliance gaps or payment failures carried zero tolerance for financial defect leakages in production.

Partner integration stability across ecosystem

Partner integrations created complex dependencies where integration failures could break customer journeys. Ensuring stable API contracts and end-to-end journey validation across partners was critical for go-live readiness.

Omnichannel experience gaps and device compatibility

Customer journeys needed consistent validation across Android, iOS, and web platforms with multiple device and browser combinations. Experience gaps between channels risked poor customer acquisition and retention in a competitive super app market.

Aggressive go-live deadlines with sprint-paced development

The program operated under sprint cycles with firm go-live dates for UPI issuing, NPCI builds, and pilot launches. Testing needed to match development velocity while maintaining coverage depth for business-critical payment flows.

QKTech’s Approach and Solution

We implemented a comprehensive quality engineering program anchored on three integrated workstreams with continuous automation, compliance-focused validation, and customer journey testing.

Automation-led Quality Engineering:

  •  API and UI automation frameworks were built to support sprint validation and SIT readiness, leveraging intelligent test generation and AI-assisted defect pattern recognition to optimize coverage and reduce testing cycles.

Payments and NPCI Requirements

  • QKTech supported module identification, packetization, risk assessment, test bed governance, and entry-exit criteria definition for NPCI compliance milestones.

Customer Experience Validation

  • User journeys were validated end to end, including device compatibility and payment-mode paths across app and web flows.

QKTech’s Strategy

API Contract & Integration Validation

All snap‑ins were validated against defined API contracts, authentication mechanisms, and rate‑limiting policies to ensure consistent and predictable behavior across diverse third‑party systems, including engineering, CRM, collaboration, and communication platforms.

Test‑Driven Development & Coverage Validation

Each connector followed a test‑driven development approach with a minimum 80% unit test coverage, ensuring functional correctness, regression safety, and production stability across monthly release cycles.

Enterprise‑Scale Performance Validation

The marketplace was validated using large‑scale synthetic and real‑world data volumes, including 10M+ Slack records, to confirm throughput, latency, and stability under enterprise workloads without performance degradation.

Phase‑Gated Delivery Validation

A strict phase‑gated delivery model was enforced, covering API exploration, TDD sign‑off, object mapping, coding with unit tests, automated regression, and release validation to ensure speed never compromised quality or reliability.

AI‑Augmented Quality Controls

AI‑assisted workflows validated code quality through automated reviews, documentation checks, root‑cause analysis, and defect resolution, reducing manual errors while maintaining engineering rigor and consistency.

Operational SLA & Reliability Validation

All connectors were validated against sub‑24‑hour SLA requirements for high‑volume synchronization jobs, ensuring reliability for enterprise customers with stringent performance expectations.

Regression & Release Stability Validation

An intelligent automation layer continuously updated SDKs, generated pull requests, and executed regression suites to validate backward compatibility and prevent connector drift across ongoing releases.

Testing Excellence Metrics

100%

API automation coverage for in-sprint scope with 101 APIs and 563 test scenarios

97%

UI automation for UPI Android app with 432 automated test cases

110

automated call-chain scenarios for end-to-end API integration testing

81

user journeys validated across three major release phases

Zero

user journeys validated across three maopen defects at UPI issuing phase go-live, with 209 defects identified and closed

Zero

negative NPCI feedback or observations on QA quality for build submission

Zero

financial defect leakages across all release cycles protecting transaction integrity

Business Impact

  • Zero financial defect leakages across all releases ensured transaction integrity and protected revenue streams, maintaining customer trust in payment flows
  • Automation-first approach enabled sprint-paced delivery with consistent in-sprint coverage to meet the go-live deadlines for UPI and NPCI milestones
  • NPCI build submitted with zero negative feedback validated QKTech’s compliance-ready approach and reduced regulatory risk for payments operations
  • Reusable automation frameworks and test assets positioned the platform for rapid scaling across additional payment modes and partner integrations
  • Reusable automation frameworks and test assets positioned the platform for rapid scaling across additional payment modes and partner integrations

Conclusion

For super apps operating at scale, release confidence depends on payments reliability, regulatory readiness, and the ability to move fast without introducing financial risk. Through automation‑led quality engineering, compliance‑first validation, and deep payments domain expertise, QKTech helped the client stabilize critical payment journeys, meet NPCI milestones with confidence, and deliver sprint‑paced releases without late‑cycle surprises.

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