Total Quality in AI

Build, deploy and scale AI with confidence

AI-Powered Testing
Move from AI experimentation to trusted, governed and scalable AI adoption
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Reduce AI risk with a joined-up approach to quality, assurance, governance and compliance
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Deliver AI with greater confidence, supported by Resillion-owned accelerators and assurance assets

Embed Total Quality into AI, not just assurance at the end

If you are moving AI from pilots into products, platforms, workflows or regulated decisions, traditional testing and isolated governance cannot keep pace on their own. AI quality needs to be designed, validated, governed and evidenced across the full lifecycle, from data and models through to applications, user experience, security, compliance and live performance.

Resillion helps you move from AI experimentation to trusted AI adoption through Total Quality. We bring AI assurance, quality engineering, advisory support and governance, AI cyber security, risk and compliance together into one evidence-led model, supported by Resillion-owned accelerators, assessment methods and assurance assets that make delivery repeatable, defensible and distinct.

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What we offer

We deliver Total Quality in AI through focused service routes such as: 

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Assuring AI with Total Quality

Validate AI systems across data, models, applications and real-world performance.

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Assuring AI with total Quality Advisory

Shape the assurance strategy, roadmap and controls needed to scale AI responsibly.

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Governance, Risk and Compliance in AI

Build governance, risk and compliance confidence with evidence-led AI controls.

WHY NOW?

What happens if you delay implementing Total Quality in AI?

As AI moves from pilots into products, workflows and regulated decisions, isolated testing and governance are no longer enough. Total Quality brings assurance, control and evidence together so you can scale AI with greater confidence.

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40 %

AI model accuracy can degrade over time as data, usage and operating conditions change.

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80 %

80% of AI projects fail to scale beyond pilot when quality, assurance and governance foundations are missing.

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Resillion at the GDS Tech Leaders’ Summit

At the recent GDS Tech Leaders’ Summit in the Netherlands, senior technology and security leaders came together to explore how organisations can evolve towards intelligent, data‑driven transformation while keeping cybersecurity at the core. Representing Resillion on this global stage, our CEO Yaron Kottler delivered a keynote session reflecting on quality in the age of AI.

Trusted by leading organisations

Helping organisations improve quality, resilience and delivery confidence across complex digital estates.

WHY US?

Why choose Resillion for Total Quality for AI?

One joined-up model for AI confidence

Resillion brings AI assurance, quality engineering, cyber security, governance and compliance together through Total Quality. This helps you avoid fragmented checks across data, models, applications and live AI use.

Assurance built for real-world AI behaviour

AI systems do not behave like traditional software. We validate model drift, data quality, explainability and operational risk so you can understand real-world performance.

Continuous assurance beyond go-live

Total Quality does not stop at release. Resillion supports ongoing validation, monitoring and evidence capture as data, usage and operating conditions change.

Evidence-led delivery, strengthened by internal IP

Resillion-owned accelerators, assessment methods and assurance assets make Total Quality repeatable, defensible and distinct. They support risk assessment, control alignment, AI validation and evidence generation.

Advisory that connects AI ambition to assurance

Resillion helps you identify where AI risk sits across strategy, operating model and delivery roadmap. This gives you a clearer path from ambition to trusted adoption.

Practical governance for regulated AI adoption

We help align AI initiatives with regulation, controls and accountability expectations. This gives you the evidence and oversight needed to scale AI safely.

Our experts

Robby Putzeys

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

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.