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Quality Intelligence

Mitigate delivery risk early, based on real-time quality intelligence insights

Poor quality insights cause blind spots when it comes to tracking quality issues and identifying improvement opportunities. This can lead to delays and longer delivery times.

With strong Agile and DevOps experience, we provide tool-agnostic quality intelligence reporting, providing you with real-time insights so you can make informed, strategic decisions.

Quality Intelligence

Scalable Quality Intelligence on demand throughout the lifecycle

We keep you updated on testing progress for the latest build, giving you decision-ready insights to support important decisions. Aligned with Agile and DevOps methodologies, our dashboards collate data from in-house automation frameworks, the CI/CD pipeline, test management tools and test data systems to generate meaningful metrics and insights.

At the core is AI-driven analysis, delivering result analysis, log monitoring, triaging, and defect clustering across all test environments.

Our delivery model includes identifying and assessing the required quality gates and requirements, building a proof-of-concept Quality Intelligence (QI) cockpit, scaling it across the organisation, establishing governance and driving continuous improvement.

Integrated lifecycle data 1
BENEFITS

How Resillion simplifies decision-making across the board

We generate real-time, decision-ready insights across your Agile and DevOps lifecycle for superior business outcomes, such as:

Faster safer releases

Faster, safer releases

Early defect and failure detection

Early defect and failure detection

Prioritisation

Better test prioritisation

Higher automation

Higher automation ROI

Governance

Stronger governance and compliance

Team collaboration

Better team collaboration

CASE STUDY

Real-time Quality Intelligence for a beverage manufacturer

Challenge

A large UK food and beverage manufacturer was scaling a major transformation with limited test capability and no real‑time visibility of coverage, defect leakage or release risk across business‑critical systems.

Approach

Quality Intelligence was embedded into a managed testing service, unifying data from Jira/Xray, Azure DevOps and automation pipelines into a single, real‑time view aligned to delivery milestones and KPIs.

Result

≥95% test coverage, ~70% automation and ≤1% defect leakage were achieved, giving stakeholders clear, real‑time insight and the confidence to make faster, evidence‑based release decisions during transformation.

Two engineers reviewing a tablet while walking through an industrial facility
WHY US?

How we turn capabilities into results

Here’s how our quality intelligence offerings reduce delivery risks, while reducing operational costs for best results:

QI dashboards
QI dashboards

What this does for you

Unifies quality, test and delivery data into tailored, role‑based dashboards

Result

Clear, real‑time visibility of release readiness and priorities

AI‑driven test result analysis
AI‑driven test result analysis

What this does for you

Automatically analyses results, logs and failures across environments

Result

Faster diagnosis and early detection of defects and systemic issues

Automation insights and quality gates
Automation insights and quality gates

What this does for you

Measures automation effectiveness and enforces data‑driven quality thresholds

Result

Higher automation ROI and safer release decisions

Integrated lifecycle data
Integrated lifecycle data (CI/CD + test management)

What this does for you

Connects requirements, tests, defects and execution events end‑to‑end

Result

Better test prioritisation and stronger delivery governance

QI‑supported test data and environments
QI‑supported test data and environments

What this does for you

Aligns test data and environments with quality insights

Result

Improved coverage, reproducibility and compliance

Defect clustering and trend analytics
Defect clustering and trend analytics

What this does for you

Groups failures and defects to reveal patterns and recurring risks

Result

Reduced defect leakage and more predictable releases

WHY NOW?

Still hesitating? See what’s at stake

If you’re not convinced by Resillion’s expertise with quality intelligence, consider what you’ll be up against without it:

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Lack of real-time intelligence for test prioritisation

Solutions e1779685211819

Lengthier releases

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Production incidents

Finance e1779258288971

Minimal automation ROI

Recruitment e1779685179223

Lack of evidence-based decision making

Skills e1779685323982

Poor customer experiences

Our experts

Gregory Renodeyn

Gregory Renodeyn

I am a Data Application Engineer at Resillion, where I have spent the last eight years evolving alongside the company’s mission to deliver digital excellence.

Abhinav Panigrahi

Abhinav Panigrahi

With over a decade of experience as a Specialist Data Engineer, I specialize in architecting and optimizing large-scale data solutions that drive innovation and efficiency.