Quality Intelligence Platform
Turn quality data into decisions
When quality signals are spread across tools, delivery risks can be harder to see. Resillion’s Quality Intelligence platform combines SDLC, service, project and QA metrics into one view, helping you make better decisions and act faster.
Trusted by leading organisations
Helping organisations improve quality, resilience and delivery confidence across complex digital estates.
Turn fragmented quality data into connected intelligence
Resillion’s Quality Intelligence platform brings together the quality signals that shape delivery confidence across the SDLC, service delivery, project delivery and QA. It connects indicators such as DORA, SLA, customer satisfaction and benchmarking data into role-specific views, so you can see risk, performance and readiness with greater confidence.
What makes it different is its data- and source-agnostic architecture, combining cloud-native ETL on Azure, Power BI dashboarding and a web-based viewing portal.
Our tool-agnostic approach builds quality insight in early, ensuring your intelligence layer fits your development context, delivery model and risk profile.
BENEFITS
How Resillion’s Quality Engineering platform gives you clearer intelligence
At Resillion, our approach to delivering better quality offers advantages such as:
Clearer visibility across your quality ecosystem
Earlier detection of delivery and service risks
Stronger governance with evidence-based reporting
Better prioritisation across teams and releases
Faster decisions using stakeholder-specific insights
Lower quality costs through earlier intervention
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
Resillion embedded Quality Intelligence 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
The client achieved at least 95% test coverage, around 70% automation and no more than 1% defect leakage, giving stakeholders clearer real-time insight and greater confidence to make faster, evidence-based release decisions.
WHY US?
How we turn capabilities into results
Here’s how our Quality Intelligence platform delivers positive business outcomes:
Source-agnostic ingestion
What this does for you
Brings quality data from different tools together
Result
Clearer quality visibility
Azure-native ETL
What this does for you
Gives you scalable, secure data processing
Result
Stronger data foundations
Power BI dashboards
What this does for you
Shows the metrics each stakeholder needs
Result
Faster evidence-based decisions
Web viewing portal
What this does for you
Gives you easier access to trusted insights
Result
Better stakeholder alignment
DORA metric tracking
What this does for you
Helps you monitor delivery performance
Result
Improved engineering confidence
SLA performance views
What this does for you
Shows where service commitments are at risk
Result
Earlier service intervention
QA KPI reporting
What this does for you
Helps you track coverage, defects and readiness
Result
Lower quality risk
WHY NOW?
Still hesitating? See what’s at stake
If you’re not convinced by Resillion’s Quality Intelligence platform, consider what you’ll be up against without it:
Partial data increases delivery uncertainty
Hidden defects surface too late to control
Conflicting data weakens stakeholder confidence
Service issues go unnoticed until customer trust is affected
Limited benchmarking slows continuous improvement
Late-found problems increase remediation effort
Our experts
Robby Putzeys
Head of Quality Engineering
Robby Putzeys is a seasoned leader with over 25 years of experience in software quality engineering, helping organizations deliver high-quality IT systems, digital products, and complex technology landscapes across industries such as telecommunications and consumer electronics.
Conor Thomson
Expert in Quality Engineering and AI Practices
Conor is a Global Solution Architect with 12 years’ experience in Quality Engineering, QA, test automation, software delivery, AI engineering, and digital transformation.
