AI Powered QA Engineering
EUROPE'S LARGEST SPECIALIST QUALITY ENGINEERING COMPANY

Reliable GenAI QA from start to release.

QESTIT delivers AI QA and risk-based testing with LINEAR Q™ to improve requirements and business impact. With LinQRAG™ and 25 years of expertise, we integrate into your tools to speed releases and ensure audit-ready compliance.

%

Usable Test Cases (vs ~60% from generic AI)

%

Time Savings in Test Case Creation

/80

LINEAR Q™ focuses effort on the ~20% of functions where ~80% of defects occur

Our AI-Powered Services

Methodology-led, expert-driven, audit-ready, from assessment to managed operation.

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QESTIT AI Quality Engineering / LinQRAG™

Flagship managed service combining the LinQRAG℠ expertise layer with LinearQ™ risk-based testing.

  • LinQRAG™ encodes 25 years of QA knowledge from 100+ enterprise projects

  • Requirements reviewed against INVEST and ISO 29148 before any test cases are written, defects born in the requirements phase are caught at the cheapest point

  • Results delivered via QAIC® into Jira, Xray, Tosca, Selenium, SAP, Azure DevOps and more, supporting automated regression testing, ci/cd test integration, and continuous testing

  • Managed operation: QESTIT runs AI quality assurance as an ongoing service inside your environment

  • Outcome-based delivery: priced on measurable QA outcomes, not effort

  • Air-gapped / on-premise deployment and BYOAI (OpenAI, Anthropic, Mistral, or your own model) available

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AI Consulting

Strategic AI test consulting for organisations defining or refining AI adoption in QA.

  • Design of an AI test strategy and governance frameworks for AI test management
  • Bespoke AI qa frameworks, domain-specific AI model testing, custom RAG implementations, test case automation engines
  • Embedded consultant experience in insurance, banking, financial services, and public sector
  • Deep domain expertise from 100+ enterprise QA engagements
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AI Training (QESTIT AI Training Academy)

Upskilling programmes for QA, test, and product teams via the QESTIT AI Training Academy.

  • AI-Assisted testing workshops and LINEAR Q™ methodology training
  • Tool-specific enablement: intelligent test automation and AI-powered test automation
  • Generative AI testing and AI workflow testing modules
  • Aimed at building durable internal capability
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AI Potential Assessment

A structured workshop to identify and prioritise AI use cases in Quality Engineering.

  • Defines a roadmap aligned to your automation testing strategy and QA maturity
  • Entry point to the full QESTIT journey: Assess → Train → Solve → Operate
  • One trusted partner, no fragmented vendor landscape

The Strategic Shift-Left Advantage

Quality moved upstream, focused where risk is highest, faster releases without losing audit-readiness.

  • Shift-Left: AI requirements analysis (INVEST, ISO 29148) catches gaps before the first test case.

  • Risk-based: LINEAR Q™ targets the ~20% of functions driving ~80% of defects.

  • Continuous feedback: QAIC® delivers results into Jira, Xray, Tosca, Selenium, SAP, and Azure DevOps.

  • Data-driven: every AI result traceable to requirement, risk, and method, with humans owning the final call.

~90%

Usable Test Cases (vs ~60% from Generic AI)

~85%

Time Savings in Test Case Creation

Scope & Coverage

The QE domains, industries, and compliance frameworks we operate within.

Industries
Compliance
Industries
Industries
Compliance
Insurance (Life & Non-Life)
Financial Services & Banking
Public Sector
Telecommunications
Energy & Utilities
Automotive
Pharma & Healthcare
Logistics & Retail
EU AI Act
GDPR
NIS2
EU Cyber Resilience Act
ISO 27001 certified
BYOAI & On-Premise

Frequently Asked Questions

Everything you need to know about methodology-led AI quality assurance

How is this different from using ChatGPT or other generic AI tools for test case generation?

QESTIT AI quality assurance is methodology-led and expertise-driven. Our focus is on the highest business impact: we identify the quality risks that matter most, then direct AI effort exactly there. LinQRAG™ encodes 25 years of Quality Engineering expertise, proven process models, and best practices directly into the AI, and LINEAR Q™, our risk-based testing methodology, ensures every generated test case is prioritised by real business damage potential, not by volume. The difference is not the AI model itself, but the QE expertise and methodology layered on top, which is why our output reaches ~90% usable test cases versus the ~60% typical of generic AI.

Which AI can we use? Where is our data processed? And how do we stay in control?

QESTIT is AI-agnostic. With our Bring Your Own AI (BYOAI) approach you choose the model that fits your organisation, OpenAI, Anthropic, Mistral, Google, or your own on-premise / open-source model. We work exclusively with LLMs hosted in the EU, and customer data is never used to train third-party models. AI-driven quality assurance is delivered as a Managed Service that runs inside your environment and integrates with your existing toolchain. Air-gapped and on-premise deployment are available for maximum data sovereignty, critical for defence, government, and high-security clients. Your data, your AI, your governance, fully under your control.

How does this integrate with our existing toolchain?

Results are delivered directly into your existing tools through QAIC® (QESTIT AI Connector), Jira, Xray, Confluence, Tosca, Selenium, SAP, Azure DevOps, and others. Our toolchain expertise also covers LLM Integration & Orchestration for organisations building their own AI workflows. No parallel tool silos, no media breaks, no manual copy-paste between platforms. Supports ci/cd test integration and continuous testing workflows out of the box.

Is QESTIT AI Quality Engineering compliant with EU AI Act, GDPR, and NIS2?

Yes, aligned from day one. Our workflows are designed for transparency and traceability, supporting the EU AI Act's requirements for high-risk AI in regulated industries. We work exclusively with LLMs hosted in the EU, and GDPR-compliant data handling is the default. Our security-by-design approach supports NIS2 compliance. Practices are aligned with the EU Cyber Resilience Act (CRA), supporting customers in meeting their obligations for software security and vulnerability management of secure digital products. QESTIT is ISO 27001 certified.

How do you ensure the AI is accurate? What happens if it gets something wrong?

Every AI-generated result is fully traceable: which requirement, which risk weight, which methodology step. Human experts review, adjust, and approve, the final decision always stays with your team. You decide where and how human oversight is applied. Complete audit trail for compliance, regulators, and internal governance. This level of transparency is the foundation of our software qa solutions.

What does the engagement model look like, consulting, managed service, or both?

We offer flexible delivery models: from project-based AI test consulting engagements through to long-term managed operation, where QESTIT runs AI quality assurance as an ongoing service inside your environment. An AI Potential Assessment is typically the starting point, a structured workshop to identify where AI adds the most value in your specific QA context. From there, the QESTIT journey scales: Assess → Train → Solve → Operate, all from one trusted partner with no fragmented vendor landscape.

Ready to Transform Your QA?

From AI hype to AI that delivers. Methodology-led, expert-driven, audit-ready. We pinpoint high-impact use cases, then deliver training and managed AI Testing Services, one trusted partner from assessment to scale, backed by 25+ years of QA leadership.