AI Systems Audit
An independent, structured review of your AI systems. Find out what is working, what is not, and what needs to change.
Once AI systems are in production, they need scrutiny. Models drift, data distributions shift, edge cases emerge, and business requirements evolve. An AI systems audit provides an independent, structured assessment of your deployed AI — covering performance, accuracy, bias, data handling, security, and alignment with the business objectives the system was built to serve. We review the full stack: the data pipeline feeding the model, the model or API itself, the integration layer, the monitoring in place, and the human oversight processes around it. We test with real-world scenarios, adversarial inputs, and edge cases to surface problems before they become incidents. The output is a clear, prioritised set of findings with severity ratings and practical remediation recommendations. This is not an academic exercise — it is a practical health check that gives you confidence in what you have deployed and a clear action plan for what needs fixing.
Use Cases
What this looks like in practice
Production AI Health Check
Systematic review of AI systems that have been running in production. Assess performance degradation, data drift, and whether the system still meets its original objectives.
Pre-Launch Review
Independent assessment before a new AI system goes live. Catch issues in staging that would be costly to fix in production.
Third-Party AI Vendor Audit
Evaluate AI solutions provided by vendors or partners. Assess accuracy claims, data handling practices, and contractual compliance.
Post-Incident Investigation
After an AI-related incident — a bad prediction, biased output, or data leak — conduct a structured investigation to identify root causes and prevent recurrence.
Regulatory Preparation
Prepare for regulatory scrutiny by auditing AI systems against relevant standards and building the evidence base regulators expect to see.
Technology
Tools we work with
How It Works
Our approach
Scope & Access
Define audit scope, agree on access to systems, data, and documentation
Technical Review
Examine data pipelines, model architecture, integration points, and monitoring
Testing & Evaluation
Run performance tests, bias checks, edge case analysis, and adversarial probes
Findings & Severity Rating
Document all findings with severity ratings, evidence, and root cause analysis
Report & Remediation Plan
Deliver a clear report with prioritised recommendations and remediation guidance
Starting from
£8K
Timeline
1-2 weeks
Ready to get started?
Book a free strategy call and we'll assess whether this service is the right fit for your business.