Process Design
Test strategy templates, entry and exit criteria, defect management workflows, and release gate definitions — standardised across programmes so quality processes are repeatable, not reimagined per project.
Testing Centre of Excellence
Governance, process, and infrastructure for quality engineering at scale.
The Exaze Testing Centre of Excellence (TCoE) provides the governance model, toolchain, people framework, and structured processes that embed quality ownership across delivery programmes — not just individual test cycles.
Testing Centre of Excellence
The governance model, process framework, and toolchain that makes quality ownership sustainable at scale.
A Testing Centre of Excellence is not a team — it is an operating model. Exaze TCoE establishes the governance, processes, tooling standards, and people frameworks that embed quality ownership across delivery programmes — ensuring quality is not a sprint-end activity but a continuous discipline with accountability, visibility, and measurable outcomes.
QA governance
Defined quality standards, test strategy ownership, release quality gates, and reporting frameworks that give leadership visibility into quality posture across the entire portfolio.
People & capability framework
Role definitions, career pathways, competency models, and capability mapping for QA practitioners — ensuring the right skills exist at every level of the delivery organisation.
Toolchain & infrastructure
Standardised toolchain selection, licencing governance, environment management, and test data strategy — removing the per-project overhead of reinventing QA infrastructure from scratch.
TCoE pillars
Six structural elements that transform QA from a reactive function into a quality engineering practice.
People Mapping
Skills assessment, role allocation, mentoring structures, and capacity planning for QA practitioners — ensuring the right test capability is deployed on the right programmes at the right time.
Quality Gates
Automated and manual quality checkpoints at every stage of the delivery pipeline — blocking releases that fail to meet defined coverage, defect density, or performance thresholds.
Automation Accelerators
Reusable test automation frameworks, shared component libraries, and page object models that reduce the cost of automation adoption and maintain consistency across delivery teams.
Metrics & Reporting
KPI dashboards covering automation coverage, defect leakage rate, test execution velocity, environment stability, and release quality scores — giving stakeholders a factual view of quality posture.
Continuous Improvement
Regular TCoE maturity assessments, retrospective-driven process improvement, and adoption of emerging QA practices — including AI-assisted test generation and self-healing automation.
X-QE Framework
The Exaze Quality Engineering Framework — four pillars that embed quality across the software lifecycle.
Selenium
Playwright
Cypress
Appium
JMeter
k6
Postman
TestRail
Azure DevOps
SonarQube
BrowserStack
Automation-first testing
Automation implemented across unit, API, and UI layers to ensure scalable, efficient testing at every release cycle — with coverage targets and automation ROI tracked as delivery KPIs.
Continuous testing in DevOps
Testing embedded within CI/CD pipelines across Jenkins, GitHub Actions, Azure DevOps, and GitLab CI/CD — providing rapid feedback without slowing deployment frequency.
Reusable frameworks & accelerators
Standardised automation accelerators, shared utilities, and framework templates reduce the time to productive testing on every new programme — without starting from scratch.
Delivered outcomes
Real results from TCoE programmes across financial services, commerce, and enterprise platforms.
10% → 70%
Automation coverage
Banking platform — Exaze implemented a structured automation framework that raised coverage from 10% to 70% across regression suites within 12 months.
60%
Reduction in regression cycles
Same financial services programme — regression cycle time reduced by 60% through layered automation and CI/CD integration.
AI-ready
AI-driven QA under TCoE
Exaze is evolving towards AI-assisted test case generation, self-healing automation, and intelligent defect prediction within the TCoE operating model.