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QA & Testing Centre of Excellence

Quality is a system, not a phase

"Quality engineered in from day one"

We embed quality engineering across your entire software lifecycle — from design to deployment — so defects are prevented early, the moment they arise.

Our Centre of Excellence model establishes quality as a shared, self-sustaining capability across the enterprise. We move teams from manual QA cycles at the end of a release to confident, continuous delivery — with automation embedded from commit to production and release confidence at enterprise scale.

Why ArtAgile?

Our quality engineering leads come from organisations that ship daily. We build the right automation and prove regression coverage, then hand back a capability your teams can run themselves — engineered test infrastructure, built into your pipeline from the start.

Service lines

Comprehensive quality engineering capabilities

From functional testing to AI-driven test automation, our CoE practice covers every dimension of quality assurance across enterprise software environments.

Core QA

Functional & Regression Testing

Structured manual and automated regression suites that validate business logic, user journeys, and integration points on every release.

Automation

Test Automation Engineering

Framework design and implementation using Selenium, Playwright, Cypress, and Appium — building sustainable automation assets that grow with your product.

Non-Functional

Performance & Load Testing

Simulate peak demand, identify bottlenecks, and validate SLA compliance before production. We use JMeter, Gatling, and k6 to stress-test at scale.

Security QA

Security & Compliance Testing

OWASP-aligned vulnerability assessments, penetration testing readiness, and compliance validation across PCI-DSS, HIPAA, ISO 27001, and GDPR requirements.

Integration

API & Microservices Testing

Contract testing, schema validation, and end-to-end API chain verification using Postman, RestAssured, and PACT — ensuring service mesh integrity at every layer.

Mobile

Mobile Testing

Native and cross-platform mobile testing across iOS and Android — real device labs, BrowserStack, and Sauce Labs — covering functional, UX, and network conditions.

AI-Powered

AI-Augmented Testing

Intelligent test generation, self-healing test scripts, and anomaly detection using ML models — reducing maintenance overhead and expanding coverage automatically.

DevOps QA

Shift-Left & Continuous Testing

Quality embedded from sprint zero. We integrate test automation into CI/CD pipelines — Jenkins, GitHub Actions, Azure DevOps — for continuous release confidence.

The CoE model

How we build a quality engine inside your organisation

Our Centre of Excellence is a capability we build with you. We operate across a set of pillars to establish self-sustaining quality practices that your teams own long after we hand over.

01

Governance & Standards

Define quality policies, test ownership models, KPIs, and toolchain standards that align QA with engineering and product leadership.

02

Automation Architecture

Design scalable, maintainable automation frameworks that integrate into your SDLC — engineered test infrastructure, built into your pipeline from the start.

03

People & Capability Building

Upskill your QA teams, embed quality champions across squads, and define clear career pathways for test engineers.

04

Metrics & Continuous Improvement

Instrument quality dashboards, track defect density and coverage trends, and run regular improvement sprints based on real data.

QA Centre of Excellence A shared quality capability across the enterprise
Strategy & Governance Policies · Standards · KPIs · Toolchain
Test Automation Frameworks · Scripts · CI integration
People Enablement Training · Champions · Career paths
Quality Analytics Dashboards · Defect trends · Insights
Tools & Environments Lab setup · Cloud infra · Data management
Innovation AI testing · Self-healing · Proofs of concept
Engagement process

From assessment to operational excellence

01

Quality Maturity Assessment

Baseline your current QA practices against industry benchmarks and identify the critical gaps.

02

CoE Roadmap Design

Build a phased transformation plan with quick wins, automation targets, and long-term governance goals.

03

Foundation Build

Stand up the automation framework, CI/CD integration, test environments, and reporting infrastructure.

04

Scale & Embed

Expand coverage across teams, onboard product squads, and integrate quality gates into release pipelines.

05

Optimise & Sustain

Regular reviews, AI-driven test optimisation, and continuous metrics-led improvement cycles.

Technology stack

Tools and frameworks we engineer with

We are tool-agnostic. The stack is chosen to fit your environment and existing toolchain — these are the platforms we work across most often.

Test Automation
Selenium Playwright Cypress WebdriverIO Appium TestNG JUnit 5
Performance Testing
Apache JMeter Gatling k6 Locust NeoLoad
API & Contract Testing
Postman RestAssured PACT SoapUI Karate
Security Testing
OWASP ZAP Burp Suite Nessus Checkmarx SonarQube
CI/CD Integration
Jenkins GitHub Actions Azure DevOps GitLab CI CircleCI
Test Management
Jira + Zephyr TestRail Xray qTest PractiTest
AI & Analytics
Applitools Mabl Testim Functionize ReportPortal
Mobile & Cloud Labs
BrowserStack Sauce Labs AWS Device Farm Firebase Test Lab
Client outcomes

Measurable results that matter to the business

Our engagements are tracked against real engineering and business KPIs — not just test pass rates.

Quality

Defect Escape Rate Reduction

Fewer critical and high-severity defects reach production once the CoE is in place, measured across the release cycles that follow implementation.

Velocity

Release Velocity Improvement

Teams on our shift-left automation framework ship more frequently while holding the same quality SLAs.

Efficiency

QA Effort Optimisation

Automation-first frameworks reduce manual test execution effort, reallocating QA capacity to exploratory and experience-led testing.

Coverage

Automation Coverage Growth

Clients grow their automated test coverage substantially after framework establishment, with self-healing scripts cutting maintenance overhead.

Confidence

Critical Path Coverage

Our risk-based test prioritisation model ensures near-complete automated coverage of every critical user journey and transactional flow.

Speed

Faster Time-to-Test

Parallelised execution on cloud grids shortens end-to-end regression runtime, unblocking daily deployment pipelines.

Ready to get started?

Talk to us about Quality Engineering & Test Automation

Tell us about your data, your systems, and the outcome that matters most. We will reply with a scoped path forward — usually inside one business day.