The AI Quality Assurance Gap
November 2026
Why faster software delivery is creating new demands for testing, evidence and governance
Proposes a five-layer assurance model, not yet experimentally validated
Read White Paper (opens in a new tab)Research
Researching the next generation of Quality Engineering
IQE Labs studies how Quality Engineering must change as systems become automated, data-intensive, AI-enabled and agentic, combining practitioner input, engineering experiments and structured models.
- 3 published white papers
- 4 research tracks
- Evidence-led research
Publications
White papers
AI-Human Quality Assurance Protocol
September 2026
A practical framework for trustworthy AI-assisted quality engineering
Read White Paper (opens in a new tab)Engineering Quality for the AI Era
From test automation to intelligent, agentic quality engineering.
Read White Paper (opens in a new tab)Research Tracks
Four questions shaping our work
Does a fully green test suite really signal release confidence?
How intelligence, evidence and learning help organizations evolve Quality Engineering.
Related: White Paper 01 (opens in a new tab)Is validating the final output enough when systems plan, use tools and act?
Evaluating behaviour, actions and outcomes, not just expected vs. actual.
Related: White Paper 03 (opens in a new tab)What evidence builds real confidence in AI-enabled systems?
Evaluating retrieval, context, grounding and response behaviour.
Related: White Paper 03 (opens in a new tab)How should governance evolve as quality engineering and AI become more autonomous?
Traceability, controls and human authorization built into intelligent systems.
Related: White Paper 02 (opens in a new tab)Our Approach
How IQE Labs develops its research
- Practitioner Input
- Engineering Experiments
- Evidence Review
- Model Development
- Publication
- Continuous Refinement
Every claim is labelled as external evidence, practitioner observation, experimental finding or proposed model.
Contribute to the research
Working on AI, automation, data or governance challenges in Quality Engineering? Share your perspective.
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