Testing of AI

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A seamless way to manage
AI risk: make your GenAI solutions testable,
trustworthy, and compliant

A structured, risk-based testing service for GenAI applications, built for systems
in regulated industries

Six critical challenges you are exposed to

Lack of risk
awareness  

Teams don’t know which AI-specific risks to test for

Outdated risk

assumptions  

Many still treat GenAI like any other IT system, missing prompt-related risks

Disconnected
processes

With no shared governance approach, risk and testing are handled in silos

Misapplied
logic

Standard pass/fail frameworks don’t apply to GenAI’s unpredictable outputs

Infeasible manual

testing  

Manual validation requires an unmanageable volume of prompts and subjective reviews

Missing
proof

No measurable evidence for regulators, auditors, or boards

Why GenAI breaks traditional testing

GenAI systems are fundamentally different from traditional software. They are non-deterministic, context-sensitive, and generate outputs that can’t be validated with simple pass/fail logic. Yet, most organizations still rely on outdated testing methods, manual reviews, or inadequate guardrails.

Why you need the evidence of control

In regulated industries such as banking, insurance, and financial services, you already face daily pressure to keep GenAI outputs reliable and compliant. Otherwise, one biased or misleading GenAI output can trigger non-compliance, reputational harm, or financial loss. The challenge isn’t only awareness of risk – it’s proving, with evidence based on structured testing approach, that your systems are under control.

Why you need to act now

By delaying or persisting with outdated testing methods, your organization risks:

Regulatory exposure under frameworks like the EU AI Act, ISO 42001, and BaFin/FINMA guidelines

Misleading AI outputs that go undetected until it’s too late, harming customers or damaging your brand

Failed audits or delayed product launches due to missing documentation and lack of traceability

Internal misalignment across tech, risk, and compliance teams, leading to bottlenecks and finger-pointing

Wasted investments in GenAI pilots that consume resources, but stall before production due to governance and testing gaps 

Now is the time to act – before the board asks, the regulator knocks, or the chatbot goes rogue.

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Testing of Ai image

What is our solution

Sixsentix end-to-end GenAI testing services powered by a risk-based methodology

Sixsentix can help your organization prove that your GenAI is compliant, reliable, and risk-assured, so you can move from uncertainty to confidence in regulated, high-stakes environments. Our services enable you to deploy AI with evidence of control, ensuring your systems earn trust, meet regulatory standards, and support business growth without hidden vulnerabilities.

We focus on the risks that matter most – technical, ethical, and regulatory – giving you the assurance you need to protect customer trust, avoid compliance penalties, and accelerate safe adoption.

To achieve this, we integrate our structured testing methodology with Calvin Risk’s AI risk management platform, ensuring every result is grounded in measurable, audit-ready risk insights. Calvin Risk is a modular, quantitative platform that transforms AI algorithm risks into clear, actionable metrics for informed decision-making.

From first check to full control 

What are our three tailored services

Every organization’s GenAI maturity is different – so is the way risks must be validated and controlled. Whether you need a quick assessment to surface blind spots, a proof of concept to build confidence, a full project to embed testing practices with continuous oversight through a managed service, our approach adapts to your needs. Each service builds on the last, giving you a clear path from initial risk discovery to long-term compliance, trust, and safe adoption. You can select the type of engagement that fits your GenAI risk assurance needs.

Download our Testing GenAI Brochure

Learn more about our service

Get a clear starting point to make your GenAI systems testable, trustworthy, and compliant. Discover our structured, risk-based approach to testing GenAI in regulated environments. Learn how Sixsentix helps you uncover risks, automate validation, and achieve compliance with confidence.

Benefits for you

Whether you’re piloting a new chatbot, integrating LLMs into core business processes, or defining your company-wide AI risk governance strategy – we provide a managed service tailored to your maturity, tooling, and domain. We work with Calvin Risk platform to make sure that AI risk is properly addressed. This collaboration allows us to deliver results that stand up to internal review, external audits, and regulatory scrutiny, without slowing down your innovation.

Targeted risk coverage

Focus on what matters most by aligning testing efforts with actual GenAI risks.

Minimized risk exposure

Catch critical failures early to prevent costly issues or reputational damage later.

Strong regulatory compliance 

Make sure your GenAI systems meet regulatory and ethical standards. 

Faster rollout

Speed up deployment with automated, continuous testing built for GenAI.

Explainability and auditability

Make GenAI decisions transparent and
easy to trace.

Measurable test results

Replace gut-feel reviews with GenAI quality metrics.

Our quick GenAI Risk Health Check  

Is your GenAI compliant, reliable, and governed?

Check before regulators do.

This quick risk health check, specifically designed for compliance and risk officers in highly regulated industries, identifies hidden weaknesses in AI governance – from regulatory exposure and IP risks to audit readiness and data protection gaps.

Answer just 8 yes-or-no questions to uncover your most critical vulnerabilities before they turn into regulatory action, reputational damage, or operational risk.

Download the GenAI risk health check  

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Our quick GenAI Application Health Check

Is your GenAI application truly production-ready?​

This quick 9-question check is tailored to tech leads in regulated industries looking to assess critical quality dimensions: factual accuracy, contextual fidelity, prompt robustness, and fallback safety.

In just a few clicks, uncover blind spots that could lead to hallucinations, misalignment, or silent failure in production.

Download the GenAI application health check 

Our approach to testing your GenAI application

We start by aligning on the technical and organizational foundations: APIs, current QA processes, and test data availability. This phase also includes onboarding stakeholders, confirming timelines, and ensuring that the right infrastructure and access are in place.

Together with use case owners, we generate minimal and extended ground truth datasets, including challenging and out-of-context cases. Governance aspects and client preferences are incorporated, ensuring test coverage reflects both compliance and business-critical scenarios.

We conduct thorough, automated testing of the GenAI system against defined use cases. Depending on risk areas, additional focused tests are performed to uncover remaining vulnerabilities. The outcomes of the assessment are analyzed in depth, highlighting strengths, weaknesses, and hidden risks. We provide clear feedback on the status quo, compliance implications, and actionable recommendations to drive ongoing monitoring and improvement.

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Our approach to testing your GenAI application

We start by aligning on the technical and organizational foundations: APIs, current QA processes, and test data availability. This phase also includes onboarding stakeholders, confirming timelines, and ensuring that the right infrastructure and access are in place.

Together with use case owners, we generate minimal and extended ground truth datasets, including challenging and out-of-context cases. Governance aspects and client preferences are incorporated, ensuring test coverage reflects both compliance and business-critical scenarios.

We conduct thorough, automated testing of the GenAI system against defined use cases. Depending on risk areas, additional focused tests are performed to uncover remaining vulnerabilities. The outcomes of the assessment are analyzed in depth, highlighting strengths, weaknesses, and hidden risks. We provide clear feedback on the status quo, compliance implications, and actionable recommendations to drive ongoing monitoring and improvement.

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Talk to our experts

Meet the people behind our testing GenAI methodology.

Gery

Gery Gedlek

Senior Test Architect

Nils

Nils Kramer

Senior Test Architect

Not sure where to start? Book a no-obligation call to explore how we can help you de-risk, validate, and accelerate your GenAI initiatives.
Let’s find the gaps before auditors do. 

The Sixsentix difference

Methodology

Our structured, risk-based methodology, developed with AI experts, aligns AI testing with business impact, not just functional correctness.

Engineered by AI experts, delivered by test professionals

We bring together the capabilities of AI specialists and test consultants to deliver meaningful, testable GenAI solutions. 

Measurable AI behavior

We quantify output quality using semantic distance, risk alignment, and context-aware test logic.

Full-service, not just tool support

We don’t just sell you a tool and walk away – we handle the entire testing process and deliver insights you can act on.

The Sixsentix difference

Methodology

Our structured, risk-based methodology, developed with AI experts, aligns AI testing with business impact, not just functional correctness.

Engineered by AI experts, delivered by test professionals

We bring together the capabilities of AI specialists and test consultants to deliver meaningful, testable GenAI solutions. 

Measurable AI behavior

We quantify output quality using semantic distance, risk alignment, and context-aware test logic.

Full-service, not just tool support

We don’t just sell you a tool and walk away – we handle the entire testing process and deliver insights you can act on.