Understanding AI systems,
checking
and safeguarding

in the long term

AI Safety Audit & Compliance Testing

AI systems are subject to increasing regulatory requirements, such as the EU AI Act and ISO/IEC 42001. At the same time, the risks posed by flawed, unsafe or discriminatory model decisions are on the rise. We complement your in-house expertise with an independent audit of your AI systems.

Maintain compliance

In addition to ad hoc audits, we support you in the ongoing monitoring of AI systems in operation. Models and applications are regularly checked for changes in behaviour, quality and performance. This enables risks to be identified at an early stage and reliability to be ensured in the long term. For organisations that wish to deploy or scale AI in production, minimise risks such as hallucinations, bias or security issues, and must comply with regulatory requirements.

Services

Our services can be booked individually and are flexibly adaptable to the risk class, sector and maturity level of the test subject.

EU AI Act Compliance Check

Preparing for regulatory requirements

Alignment with the EU AI Act, ISO/IEC 42001 and other requirements. Classification of AI systems (risk level), transparency and bias analyses, support with documentation and audit preparation.

from CHF 220 per hour

Model Risk Assessment

Model Risk Assessment

Assessment of training data, model architecture and operational context; creation of a risk profile, including classification according to potential damage.

from CHF 12,000

LLM Audit

Evaluation of language models

Targeted testing of large language models for hallucinations, susceptibility to prompt injection, data leaks, bias and potential for misuse, including a structured audit report.

from CHF 6,000

RAG Reliability & Risk Audit

Analysis of retrieval-based AI systems

Review of the retrieval pipeline and analysis of response quality, source validity and performance, including risk assessment.

from CHF 15,000

Continuous monitoring

Continuous monitoring

Ongoing monitoring of model behaviour in production, including drift, anomaly and error detection.

from CHF 2,500 per month

Governance & Documentation

Governance & Documentation

Development of policies, roles, approval processes and technical documentation, including a governance handbook.

from CHF 26,000

  • Preparing for regulatory requirements

    EU AI Act Compliance Check

    Alignment with the EU AI Act, ISO/IEC 42001 and other requirements. Classification of AI systems (risk level), transparency and bias analyses, support with documentation and audit preparation.

    from CHF 220 per hour

  • Model Risk Assessment

    Model Risk Assessment

    Assessment of training data, model architecture and operational context; creation of a risk profile, including classification according to potential damage.

    from CHF 12,000

  • Evaluation of language models

    LLM Audit

    Targeted testing of large language models for hallucinations, susceptibility to prompt injection, data leaks, bias and potential for misuse, including a structured audit report.

    from CHF 6,000

  • Analysis of retrieval-based AI systems

    RAG Reliability & Risk Audit

    Review of the retrieval pipeline and analysis of response quality, source validity and performance, including risk assessment.

    from CHF 15,000

  • Continuous monitoring

    Continuous monitoring

    Ongoing monitoring of model behaviour in production, including drift, anomaly and error detection.

    from CHF 2,500 per month

  • Governance & Documentation

    Governance & Documentation

    Development of policies, roles, approval processes and technical documentation, including a governance handbook.

    from CHF 26,000

We offer you

  • Stable systems and long-term reliability

    AI models and applications are regularly tested whilst in operation. Changes in behaviour, quality and performance are identified at an early stage, deviations are documented in a traceable manner and addressed in a targeted way.
  • Traceability and reproducibility

    Responses, decision-making logic and data flows are analysed in a structured manner. Risks such as hallucinations, bias or inconsistent results are identified, assessed and mitigated.
  • Auditable AI systems

    All testing processes, results and adjustments are documented transparently. Models remain traceable, decisions verifiable, and requirements arising from audits and regulatory bodies can be met at all times.
  • Basis for decision-making

    Realistic test datasets enable AI systems to be assessed in a targeted manner under defined conditions. Quality, robustness and limitations can be quantified.
  • Stable systems and long-term reliability
    AI models and applications are regularly tested whilst in operation. Changes in behaviour, quality and performance are identified at an early stage, deviations are documented in a traceable manner and addressed in a targeted way.
  • Traceability and reproducibility
    Responses, decision-making logic and data flows are analysed in a structured manner. Risks such as hallucinations, bias or inconsistent results are identified, assessed and mitigated.
  • Auditable AI systems
    All testing processes, results and adjustments are documented transparently. Models remain traceable, decisions verifiable, and requirements arising from audits and regulatory bodies can be met at all times.
  • Basis for decision-making
    Realistic test datasets enable AI systems to be assessed in a targeted manner under defined conditions. Quality, robustness and limitations can be quantified.

Using AI Safely

We begin every collaboration with a no-obligation initial consultation, during which we work with you to assess your specific use case, the regulatory context and the appropriate scope of testing.

Get in touch

Please get in touch with us; we’ll get back to you within two working days.