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Automated Quality Engineering

In today’s hyper-competitive digital landscape, modern enterprises are pressured to deliver faster innovation—without compromising on quality. But traditional QA methods simply can’t keep pace with the velocity of agile development, cloud transformation, and AI integration.

Some commercial damages when companies compromised the importance of automated testing.

  1. Banking and Financial Services: USD$267mil compensation and fines.
  2. Retail: USD$2bil and more than 130 stores were closed because of inventory mismanagement.
  3. Manufacturing: Failed the USD$3bil digital transformation project for Industrial IoT.

At Aventra Group, we believe quality shouldn’t be an afterthought—it should be built in at every stage of your digital ecosystem. The Aventra Automated Quality Engineering (AQE) brings end-to-end assurance to software, cloud, enterprise apps, data and AI systems. We embed intelligent automation and predictive testing into your workflows—reducing risk, accelerating innovation, and ensuring enterprise-grade quality at scale.

  1. SLM/LLM Assurance – Testing, bias detection, model drift, hallucination control.
  2. Enterprise App Assurance – Automation for SAP, Salesforce, and custom apps.
  3. Security Assurance – Secure code testing, vulnerability scans, and DevSecOps alignment.
  4. Data Assurance – Validation across pipelines, warehouses, and real-time data flows etc.
  5. Cloud Assurance – Multi-cloud workload quality, deployments, rollback validations, Migrations etc.
  6. Performance Assurance – Load testing, SLAs, capacity planning insights.
  7. Mobile/Web UX Assurance – Test user flows across devices and browsers.
  8. Regulatory & Compliance Testing – Especially relevant for industries like healthcare, finance.

The AQE is leveraged on a robust and modern technology stack, including:

  1. Automation & Functional Testing: Selenium, Playwright, Appium, Tricentis Testim
  2. API Testing & Security: Postman, OWASP ZAP
  3. Performance Testing: JMeter, LoadRunner, WebLOAD
  4. DevOps & CI/CD: Azure DevOps, GitHub

We are committed in delivering excellence by adhering to internationally recognized standards and frameworks, including:

  1. ISO/IEC 25010 – Software Quality Models
  2. OWASP – Secure Coding and Testing Practices
  3. GDPR – Data Privacy Compliance
  4. SOC 2 – Trust Service Principles for Security and Availability


This is to ensure that every deliverable aligns with global best practices in quality assurance, security, and performance engineering, fostering confidence and trust with every project.

Benefits

Accelerated Time-to-Market

Drastically reduced release cycles by integrating continuous, automated quality checks throughout your CI/CD pipelines.

AI Model Testing & Validation

Ensure AI/ML reliability with rigorous model testing, algorithm integrity checks, and bias detection—accelerating trustworthy AI adoption across your enterprise.

Enterprise-Grade Data Validation

Guarantee data accuracy and integrity with automated validation across complex, distributed environments—powering better decisions, models, and compliance.

Enhanced Operational Efficiency

Minimize manual effort, reduce testing costs, and free up valuable resources for strategic initiatives through intelligent automation.

Mitigated Business Risk

Proactively identify and resolve potential issues before they impact your customers or bottom line, safeguarding your brand reputation.

Unwavering Digital Trust

Build highly reliable, secure, and performant applications, fostering customer loyalty and driving superior user experiences.

Faster Root Cause Analysis

AI analytics help teams isolate and resolve defects quickly.

Test Coverage Visibility

Gain transparency into what’s tested, what's not, and why.

Sustainability in Testing

Lower compute costs and test waste with smart scheduling.

Key Features

01

AI-Powered Test Automation Frameworks

Leverage sophisticated AI and Machine Learning algorithms for intelligent test case generation, self-healing tests, and predictive defect analytics, ensuring unparalleled efficiency and coverage.

02

End-to-End Integrated Assurance

Seamlessly embed quality processes across the entire software development lifecycle—from requirements to deployment—for holistic quality governance.

03

Customized Enterprise Solutions

Tailored assurance strategies for complex SAP and Salesforce landscapes, intricate cloud environments, and high-stakes data and AI initiatives.

04

Predictive Quality Analytics & Insights

Gain real-time visibility into your quality posture with AI-driven dashboards, predictive models, and actionable insights to inform strategic decisions.

Case studies

Case Study 1

The Challenge

Manual validation of AI/ML models for hallucinations, bias, and performance was inconsistent and slow, taking days to complete.

Our Solution

Deployed AQE’s LLM Assurance framework, integrating automated test cases for:

  1. Prompt response accuracy
  2. Bias detection
  3. Drift monitoring

Results

%
Faster Model Testing and Deployment
%
Increase in User Trust Metrics
Based on feedback forms
Compliance-readiness for AI usage audits
GDPR & ISO

Case Study 2

The Challenge

High volume of new features with limited test coverage led to production bugs and increased customer support tickets.

Our Solution

Aventra integrated AI-driven automation across their CI/CD pipeline using Playwright and API test frameworks.

Results

%
Automated Test Coverage
Across frontend, API, and integrations
%
Drop in Post-release Defects
%
Reduction in QA Team Workload
More time for exploratory testing and innovation

Take the Next Step

Ready to Engineer Uncompromising Quality into Your Enterprise?

Contact us