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Regulatory Reporting Excellence: How a Global Bank Improved
Accelerating Basel III Compliance
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Where Quality Is the Foundation, Not the Finish Line.
Quality is not a stage. It is the essence of everything built to last. Engineers who own release confidence understand what it costs to catch defects late - in rework, in reputation, in trust.
The real risk is never in the test suite. It is in the assumption that quality can be added after the fact. Xoriant embeds Quality Engineering across the entire delivery lifecycle; not as a checkpoint, but as a discipline woven into every commit, every sprint, every release. Through the combined force of Xoriant Xfactors, AI-assisted tooling, purpose-built automation frameworks, and governance that scales with complexity, we make quality a system property - structural, measurable, and continuous.
Not an endgate. An engineering standard.
Engineering the Quality Foundation Behind World Leading Products & Platforms
Quality added at the end of a delivery cycle is not quality: it is risk management under pressure. The teams that release with real confidence engineer quality in from the first commit, not the last sprint. Xoriant helps enterprises make that shift: from QA as a gate to Quality Engineering as a foundation the entire delivery pipeline depends on.
Thirteen hundred engineers across global delivery centres have made that shift with us. Guided by HI/AI, our QE practice keeps human engineering expertise at the centre of every engagement with AI applied where it delivers the highest impact: test creation, defect prediction, and continuous validation across every release cycle.
Overarching philosophy of HI/AI
House of Xfactors make it happen
How Can We Help ?
What We Do Across the Full Quality Engineering Lifecycle
Intelligent Test Automation and Regression Testing
Release Confidence and Quality Governance
Scale, Performance and Stability Engineering
Experience, Accessibility and Customer Impact Validation
Security, Risk and Market Readiness
Intelligent Test Automation and Regression Testing
Intelligent Test Automation
Design scalable automation frameworks built for continuous delivery. Coverage grows with the product without a maintenance burden that slows teams down.
AI-assisted Test Creation and Execution
Accelerate coverage with AI-generated test cases and reduced scripting overhead. More ground covered per sprint with less manual effort in the pipeline.
Regression Testing
Focus validation on critical paths and high-impact changes. Regression cycles become faster and more targeted without trading coverage for speed.
Release Confidence and Quality Governance
QE Strategy and QA Governance
Align quality goals with business risk. A defined test strategy and standardised practices turn quality from an assumption into a consistent commitment.
CI/CD Quality Engineering
Integrate automated testing into pipelines from the first build. Broken deployments and unstable releases are caught before they ever reach staging.
QA Operating Model and Enablement
Replace fragmented ownership with clear operating models. Teams gain consistent practices and a quality baseline that holds across every release cycle.
Scale, Performance and Stability Engineering
Performance and Load Testing
Assess system performance under expected and peak conditions. Capacity limits are known and addressed before real-world traffic makes the gaps expensive.
Compatibility and Environment Testing
Ensure consistent behaviour across devices, browsers, and network conditions. User experience does not degrade at the edges of your distribution.
Resilience and System Validation
Identify stability and integration risks across dependencies and distributed systems. Failures under stress are caught in the lab, not in production.
Audio, Video and Network Performance
Validate real-time media performance across latency and quality dimensions. Network simulation mirrors real conditions before users encounter degradation.
Experience, Accessibility and Customer Impact Validation
UX and Usability Testing
Validate ease of use and task completion before release. Friction that would cost adoption is found and resolved while it is still inexpensive to fix.
CX Journey Validation
Test end-to-end user journeys across channels and touchpoints. Breaks that span systems or teams are caught before customers find them in the live product.
Accessibility and Compliance Testing
Ensure adherence to accessibility standards and regulatory requirements. Products reach more users and meet obligations without last-minute remediation.
Security, Risk and Market Readiness
Security Testing
Surface application and integration vulnerabilities before release. Security gaps are resolved in the development cycle, not discovered after deployment.
Competitive Quality Benchmarking
Evaluate performance and stability against market expectations. Releases go out knowing where the product stands relative to what users accept elsewhere.
Pre-release Risk Assessment
Assess overall readiness before high-impact or regulated launches. Risk is quantified, mitigated, and signed off — not left to surface at go-live.
Case Study
Regulatory Reporting Excellence: How a Global Bank Improved
FR Y-14 Compliance
How a global bank improved FR Y-14 reporting, enhanced adjustment traceability, and strengthened consent order compliance with a governed data framework.
Case Study
Modernizing Financial Systems for a Global Bank
Ahead of Bulgaria’s legally mandated Euro (EUR) adoption on 1 January 2026, a leading global bank faced a non-negotiable regulatory deadline requiring enterprise-wide currency conversion.
Case Study
Accelerating Basel III Compliance
with First Time Right Regulatory Submissions
How a global bank leveraged GenAI to automate 7,000+ rules, standardize reporting, and minimize penalty risk across jurisdictions
Accelerators
Built to Accelerate What Matters Most
Loadero
A cloud-based load and performance testing platform for executing scalable tests across distributed environments
Achievements
Our Clients Have Achieved Tangible QA Improvements
100%
Automation of testing in same sprint, mortgage software
80%
Test automation coverage for crisis notification app
50%
Testing time reduction for retail client
110+
Defects uncovered for procurement firm through automation
Keeping You Updated
Webinar and Podcast
FAQ
Quality Engineering
What are Enterprise Quality Engineering services?
Enterprise Quality Engineering embeds AI-driven testing, QA governance, and continuous validation into DevOps pipelines ensuring software is reliable, scalable, and ready for production without slowing delivery velocity.
How does AI-driven Quality Engineering improve DevOps outcomes?
AI-driven Quality Engineering uses predictive analytics, automated test creation, and observability to reduce defects earlier, accelerate CI/CD pipelines, and give release teams confidence that quality is built in, not added on.
What is the role of QualityOps in CI/CD environments?
QualityOps integrates regression testing, shift-left practices, and CI/CD automation directly into DevOps workflows eliminating fragmented ownership and ensuring continuous, consistent validation across every release.
How do Managed Quality Engineering services reduce risk?
Managed Quality Engineering standardises governance frameworks, enterprise software validation, and security testing reducing production failures, managing compliance risk, and freeing engineering teams to focus on delivery.
Why is software performance testing critical for digital transformation?
Performance testing under real and peak load conditions ensures applications remain stable as scale increases. Cloud-native automation validates behaviour across environments before enterprise-grade traffic exposes the gaps.
How does a Test Automation Centre of Excellence drive scale?
A Test Automation Centre of Excellence accelerates AI-based test automation, regression coverage, and continuous testing maturity building the frameworks and practices that scale quality alongside delivery velocity over time.
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