Reimagine Quality Engineering for an AI-Native World
In today’s AI‑native, cloud‑driven application landscape, Quality Engineering must transition from reactive validation to continuous, intelligence‑led assurance to enable intelligent and autonomous operations.
HCLTech’s Quality Engineering Services embed assurance into every layer of the application testing lifecycle, enabling enterprises to deliver resilient, scalable and AI-enabled systems with confidence. At the core of this transformation is QMetrix, designed to assess QE maturity on parameters including test coverage, automation maturity, etc and specialized agents facilitating design and execution of recommendations to enhance maturity.
Together with our AIForce.Software.Test platform and AI-embedded testing practices we enable enterprises to reduce risk, enhance release predictability and consistently deliver trusted digital experiences at scale.
Scaling Quality across the Modern Testing Landscape
Staying competitive requires more than speed—it demands reliable, adaptable software engineered for continuous change.
Our AI-driven Quality Engineering capabilities embed automation, AI and engineering rigor across the lifecycle—enabling faster releases, resilient systems and measurable business outcomes.
Hyperautomation-driven Quality Engineering
Accelerate delivery with AI-orchestrated automation across the SDLC. From intelligent continuous testing pipeline to autonomous regression, we enable seamless risk-based test execution—drastically improving release velocity while maintaining consistent, enterprise-grade quality.
AI-augmented and intelligent QE
Reimagine testing with GenAI and machine learning at the core. With GenAI-based test design, smart test data management, self-healing scripts and predictive defect analytics, we create a continuously learning QE ecosystem. The result: broader coverage, reduced manual effort and proactive risk mitigation before defects reach production.
Shift-left and shift-right quality engineering
Embed quality early and incorporate feedback from production. ML-powered code intelligence and integrated DevTest practices help detect defects sooner, while our AI-driven observability and SRE practices gather production insights. This dual approach reduces rework, improves resilience and strengthens customer trust.
Business-centric and experience-led assurance
Align quality with business impact. Persona-based journey testing, real-user monitoring and industry-specific validation ensure applications perform not only technically, but experientially and ethically.
HCLTech’s AIForce.Software.Test
HCLTech’s AIForce.Software.Test drives AI-powered optimization across the entire software lifecycle, transforming how enterprises design, automate, execute and manage testing. By combining intelligent test selection, predictive analytics, automation acceleration and real-time insights, the platform reduces effort, improves release readiness and enhances quality outcomes at scale.
Reduction in test planning time
Reduction in automation development and maintenance time
reduction in test cases generation time
Our Success Stories
Optimizing processes and productivity for an American financial services firm
HCLTech enabled seamless scalability and superior application quality
HCLTech helped Canada’s flagship airline with increased efficiency and better CX
Partner Ecosystem
