Understanding AI systems,
checking
and safeguarding

in the long term

AI Audit and Testing

The use of AI brings new opportunities – but also new risks. Incorrect answers, a lack of traceability or regulatory requirements can quickly lead to operational problems. We help companies to assess their AI systems in a structured way and identify risks at an early stage.

Monitor and

reliably control

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.

Products

We are happy to offer you our services in the form of ready-made products. However, bespoke combinations are also possible.

EU AI Act Compliance Check

Preparing for regulatory requirements relating to the use of AI.

Includes the classification of AI systems (risk level), transparency and bias analyses, and support with documentation and audit preparation

from CHF 180 per hour

Model Risk Assessment

Model Risk Assessment

Bewertung von Trainingsdaten, Modellarchitektur, Einsatzkontext, Erstellung eines Risikoprofils inklusive Einstufung nach Schadenspotential.

ab CHF 12'000

LLM Audit

Assessing language models for quality, security and reliability.

Includes the analysis of responses, test data sets, and security and bias tests, including a structured audit report.

from CHF 30,000

RAG Reliability & Risk Audit

Analysis of retrieval-based AI systems in live operation.

This includes an assessment of the retrieval pipeline and an analysis of response quality, source validity and performance, including a risk assessment.

from CHF 15,000

Kontinuierliches Monitoring

Kontinuierliches Monitoring

Laufende Überwachung von Modellverhalten im Produktivbetrieb inklusive Drift-, Anomalie- und Fehler-Erkennung.

ab CHF 2'500 pro Monat

Governance & Dokumentation

Governance & Dokumentation

Erstellung von Richtlinien, Rollen, Freigabeprozessen und technischer Dokumentation inklusive Governance-Handbuch.

ab 26'000 CHF

We offer you

  • Continuous model monitoring

    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 – ensuring stable systems and long-term reliability.
  • Systematic quality and risk assessment

    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 – in a transparent and reproducible manner.
  • 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.
  • Test data sets and validation

    Realistic test datasets enable AI systems to be assessed in a targeted manner under defined conditions. Quality, robustness and limitations are made measurable – providing a basis for informed decisions and reliable scaling.
  • Continuous model monitoring
    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 – ensuring stable systems and long-term reliability.
  • Systematic quality and risk assessment
    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 – in a transparent and reproducible manner.
  • 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.
  • Test data sets and validation
    Realistic test datasets enable AI systems to be assessed in a targeted manner under defined conditions. Quality, robustness and limitations are made measurable – providing a basis for informed decisions and reliable scaling.

Start a project

From testing to validation: we analyse your AI systems and ensure their quality, robustness and compliance.

Request a consultation

Please get in touch – we’ll be in touch with you within two working days.