Protecting critical infrastructures through Mobile Device Management (MDM)
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QA for AI
Quality assurance that makes AI risks visible
Identifying and controlling risks: Quality assurance for AI
Artificial Intelligence (AI) is fundamentally transforming the way we interact with customers, partners and citizens. AI-driven dialogue systems can answer questions, accelerate processes and process sensitive data. However, all this only works if AI operates reliably and in full compliance with regulations. We conduct comprehensive testing of your AI systems, identify potential risks and compliance violations at an early stage, and provide the required evidence for internal approvals or external audits. This way, innovative technology becomes a trustworthy, production-ready system.
Our services at a glance
AI for Enterprise is a proven approach for secure, scalable and auditable AI in business-critical processes. Whether initial adoption, integration or ongoing operations: we support you with a modular framework tailored to your organisation’s maturity.<br />
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For implementation, various ITIL-compliant, fully documented and audit-ready operating models are available. Entry is fast and straightforward via a certified EU cloud environment. Those requiring greater flexibility can rely on a private cloud solution with the full range of functions in their own hosting. For organisations demanding the highest level of sovereignty and control – such as critical infrastructures, public authorities or banks – on-premises operation provides the ideal framework.
Automated testing for security and robustness
Simulates prompt injection, bias, hallucinations and edge cases.
Compliance and security checks for audit readiness
Validates GDPR, NIS-2, ISO 27001 – including an auditable QA report.
Real-time monitoring for operational transparency
Live dashboard, anomaly detection in under 60 seconds
Industry-specific test suites for domain knowledge
Preconfigured packages, e.g. for banks, insurers and the public sector
Continuous improvement for sustainable quality
Regular KPI reviews, knowledge updates and model optimisation
Why AI quality assurance is indispensable today
AI systems today no longer just provide recommendations. They also make decisions, deliver information and process sensitive data. Without systematic testing and monitoring, however, these systems quickly become an incalculable risk – for example through hallucinations, incorrect decisions or security incidents. A targeted prompt injection attack could even cause a chatbot to disclose confidential information unnoticed and without logging.
The consequences range from reputational damage and legal liability to heavy fines under GDPR or the EU AI Act. Any organisation deploying AI in production must ensure security and traceability – and be able to demonstrate this at all times.
Particularly affected:
- Banks, insurers and public authorities are subject to strict supervision and extensive proof obligations.
- CISOs, compliance leads and IT managers must establish effective control mechanisms and provide evidence of compliance.
- Ad-hoc tests and manual audits do not scale, leaving many risks undetected for too long.
That is why every AI application requires a systematic quality standard from the very beginning.
Benefits for your organisation
Significantly reduced manual testing effort
Your specialist teams are noticeably relieved. Based on project experience, you can expect time savings of around 70%.
Comprehensive monitoring
The consistent monitoring of your AI systems is guaranteed through the SLA.
Audit-ready documentation at the push of a button
Automatically generated reports meet the requirements of the EU AI Act, GDPR and NIS-2.
Fewer incorrect responses, fewer escalations
Thanks to proactive edge-case testing, critical errors rarely occur.
Typical use cases
- A bank’s service chatbot ahead of an upcoming BaFin audit
- An insurer’s AI-powered claims assistant, secured with an industry-specific test suite
- A public authority’s knowledge chatbot processing sensitive citizen data (GDPR)
- A conversational commerce bot in online retail that must reliably detect and prevent product-related fake news
How we work
Secure AI requires a secure approach; that’s why our services follow a clearly structured model: quick to launch, seamlessly integrable, continuously optimisable. This ensures your AI does not remain just a pilot project, but evolves into a sustainable, production-ready system.
Contact
Building trust, handling risks
Together, we ensure that your chatbot meets all compliance requirements and operates reliably – even before it goes live.
