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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 help you move from fragmented reporting to real-time quality intelligence through Resillion’s Quality Intelligence platform. This tool-agnostic platform aggregates quality signals across the SDLC into unified, stakeholder-specific views, giving you clear insight into release readiness, delivery risk and improvement priorities. Knee-jerk responses will be a thing of the past.

Our Quality Intelligence IP also supports DORA metrics, customer satisfaction and industry benchmarking, service delivery KPIs and SLAs, project delivery metrics and QA KPIs — with AI and machine learning capabilities for predictive analytics, anomaly detection, defect forecasting and automated quality gates.

Quality Intelligence

Scalable, real-time 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 Quality Intelligence platform collates data from in-house automation frameworks, CI/CD pipelines, test management tools, defect trackers, service delivery systems and test data sources to generate meaningful metrics and insights.

At the core is Resillion’s Quality Intelligence platform: a source-agnostic analytics layer that uses cloud-native ETL, configurable dashboards and a web-based viewing portal to turn scattered delivery data into clear, role-based intelligence. It connects requirements, tests, defects, automation results, build data, environment information and service KPIs so teams can track quality trends, understand release risk and prioritise action from one consistent view.

The platform also supports AI-driven result interpretation, log monitoring, triage support, defect clustering, anomaly detection and delivery risk forecasting across test environments. Our delivery model includes identifying and assessing the required quality gates and reporting requirements, building a proof-of-concept Quality Intelligence cockpit, connecting source systems, scaling stakeholder-specific dashboards across the organisation, establishing governance and driving continuous improvement through reusable Resillion IP.

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:

Quality Intelligence Platform
Quality Intelligence platform

What this does for you?

Aggregates quality signals across the SDLC into unified, role-based views using source-agnostic ETL and dashboarding

Result

A single, real-time view of release readiness, delivery risk and improvement priorities

QI dashboards
AI-driven quality analytics

What this does for you

Analyses results, logs, failures and delivery patterns to support triage, anomaly detection and defect clustering

Result

Faster diagnosis, earlier risk detection and fewer recurring quality issues

AI‑driven test result analysis
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

Automation insights and quality gates
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

Integrated lifecycle data
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

QI‑supported test data and environments
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

Budget Planning & Financial Reporting
Benchmarking and KPI intelligence

What this does for you

Tracks DORA metrics, QA KPIs, service delivery SLAs, project delivery indicators and customer satisfaction benchmarks

Result

Better governance, clearer improvement priorities and stronger evidence for leadership decisions

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:

Recruitment e1779685179223

Lack of real-time intelligence for test prioritisation

Solutions e1779685211819

Lengthier releases

Settings e1779685250684

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.