Our Technical Approach to AI Systems Assessment

At Airside Labs, we combine industry-leading evaluation techniques with customised testing protocols to provide comprehensive assessments of AI systems for regulated industries. Our methodology is built on three core pillars: rigorous technical evaluation, regulatory alignment, and practical risk assessment.

Framework overview

Our evaluation framework draws inspiration from state-of-the-art approaches like the UK AI Safety Institute's Inspect framework, while incorporating specialised components for regulated industries. Similar to Inspect, our evaluations are built on three essential components: Datasets, Solvers, and Scorers that work together to provide standardised assessments of AI capabilities. 

Core Evaluation Components

Customised Test Datasets

  • Industry-specific test cases developed with domain experts
  • Regulatory compliance scenarios based on current legislation
  • Edge case detection designed for your specific deployment context
  • Multi-modal testing across text, image, and structured data inputs

Rigorous Testing Protocols

  • Standardised benchmarks for comparative analysis
  • Adversarial testing to identify vulnerabilities
  • Red teaming by industry specialists
  • Longitudinal testing to measure performance drift

Comprehensive Scoring System

  • Quantitative metrics for technical performance
  • Compliance alignment scoring for regulatory requirements
  • Risk categorisation based on industry standards
  • Human expert verification of critical outputs

How It Works - CI/CD Integration for Continuous AI Governance

We understand that AI evaluation cannot be a one-time event in regulated industries. Our tooling seamlessly integrates with your existing development infrastructure to enable continuous evaluation throughout your AI development lifecycle. 

  • Step illustration
    Pipeline-Compatible Evaluation
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    Git-Based Version Control
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    Containerised Deployment
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    Build-Time Validation
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    Threshold-Based Approvals

Implementation Approaches

Stick with your current enterprice architecture and deploy our evaluations within your infrastructure via secure marketplace registry services.

  • GitHub Actions Integration - coming soon

    • Pre-built actions for common evaluation scenarios
    • Custom workflows for regulated industry requirements
    • Automated reporting and documentation

  • Jenkins Pipeline Integration - coming soon

    • Specialised pipeline steps for model evaluation
    • Parallel testing across multiple evaluation dimensions
    • Integration with compliance documentation systems

  • Azure DevOps Integration - coming soon

    • Task extensions for model evaluation
    • Integration with approval workflows
    • Compliance artifact generation

Get Started with a Custom Evaluation

Ready to ensure your AI system meets the rigorous standards required in your regulated industry? Book a consultation with our team to discuss your specific needs and design a comprehensive evaluation strategy that integrates seamlessly with your development workflow.

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