人工智能中的全面质量

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.

AI engineering

What we offer

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

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确保人工智能达到最高品质

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, 风险 and compliance confidence with evidence-led AI controls.

为什么现在?

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.

被领先组织所信赖

帮助组织提高复杂数字环境中的质量、弹性及交付能力。.

为什么选择我们?

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.

我们的专家

罗比·普泽斯

罗比·普泽斯

质量工程部负责人

罗比·普泽斯是一位经验丰富的领导者,拥有超过 25 年的软件质量工程经验,曾帮助多家企业在电信和消费电子等行业交付高质量的 IT 系统、数字产品和复杂技术平台。.

康纳·汤姆森

康纳·汤姆森

质量工程与人工智能实践方面的专家

康纳是全球解决方案架构师,拥有12年质量工程、QA、测试自动化、软件交付、人工智能工程和数字化转型方面的经验。.