Auditing Your AI
for Trust, Fairness, and Performance
AI is reshaping products across industries—but with power comes responsibility. Our AI Audit offers a human-centered review to ensure your product is innovative, trustworthy, and compliant.
Why an AI Audit Matters
AI failures aren’t always technical - They’re human, social, and ethical.
An AI Audit ensures these issues are identified and addressed proactively.
Bias and unfair treatment of specific user groups
Trust breakdowns due to opaque logic and poor explainability
Data privacy risks or misuse of sensitive user information
Security
vulnerabilities or lack of resilience
Regulatory non compliance with new AI governance laws
It’s about catching problems early and aligning your AI with both user expectations and societal norms.
Our 10 Pillars of
AI Audit Excellence
We evaluate your AI solution holistically across ten key pillars that cover technical quality, ethical integrity, and user experience
By scrutinizing these pillars, we shine a light on where your AI excels and where it needs improvement. Our framework aligns with leading AI ethics guidelines and standards for trustworthy AI, giving you confidence that nothing is overlooked.
Reliability
We evaluate your AI solution holistically across ten key pillars that cover technical quality, ethical integrity, and user experience.
Performance
Does the AI meet accuracy and efficiency benchmarks? We assess predictive performance, speed, and scalability in real-world use.
Transparency
Can everyone understand what the AI is doing? We review the openness of your AI's processes, data sources, and decision rules.
Explainability
When the AI makes a decision, is there a clear "why"? We ensure the system can provide human-understandable justifications for its outputs.
Privacy
Do user's data and rights remain protected? We examine data handling, anonymization, and compliance with privacy standards so your AI respects personal information.
Fairness & Bias Mitigation
Is your AI fair to all users? We rigorously test for biases and ensure outcomes aren’t unintentionally favoring or harming any group.
Security and Robustness
How well is the AI safeguarded? We test resilience against adversarial inputs, data tampering, or misuse, and verify the model’s stability under stress.
Governance
Are there accountability and oversight measures? We look for documentation, policies, and workflows that govern the AI’s development and deployment (e.g. model versioning, audit logs, human review processes).
User Control
Do users and operators have the right level of control? We evaluate features like opt-outs, manual overrides, and settings that let people influence or correct the AI’s actions.
Autonomy
Is the AI’s level of autonomy appropriate and safe? We assess how the AI interacts with humans—making sure it augments rather than overrides human judgment, especially in high-stakes scenarios.
Our Audit Process
From Discovery to Action
Discovery & Scoping
We start with a workshop to understand your AI system, goals, and regulatory context—tailored to your domain.
Evaluation & Analysis
Our experts assess your AI across the 10 pillars—reviewing data quality, model behavior, UX transparency, and compliance risks.
Interactive Review
Midway, we share key findings in a live session—ensuring alignment and early course-correction if needed.
Reporting & Advisory
You get a detailed report, AI Trust Scorecard, and prioritized action plan—covering quick wins and strategic improvements.
Debrief & Roadmap
We present findings in a stakeholder session and guide next steps. Need support implementing? We stay involved as advisors.
Deliverables & Impact
Diagnostic UX Scorecard
A visual summary of your AI’s performance across the 10 pillars, highlighting strengths and risk areas.
Detailed Audit Report
In-depth findings with evidence, insights, and clear recommendations for improvement
Risk & Compliance Assessment
Evaluation of your AI's alignment with regulations like GDPR and bias mitigation standards.
Opportunity Briefs
Strategic areas to enhance trust, performance, or ROI—beyond just fixing issues.
Executive Presentation
A business-ready deck translating findings into action for leadership and stakeholders.
Real World Impact
Our AI audits have helped organisations prevent pitfalls and drive positive change. For instance:
Transparency
A financial services firm discovered through our audit that its credit scoring AI lacked explainability for decline decisions.
We helped implement explainable AI tools, improving transparency and earning regulator trust.
Accuracy
A health-tech startup identified a hidden bias in its diagnostic model that was less accurate for a certain demographic
Our recommendations led to a more diverse training dataset and a 15% improvement in accuracy for underserved groups.
User Confidence
An e-commerce company’s chatbot was audited for user control and privacy. We found the bot was auto-sharing user data with third-party analytics without clear consent
The company quickly added user opt-outs and updated its privacy policy, avoiding potential compliance fines and boosting user confidence.Ready to ensure your AI is responsible and resilient?
Schedule a call to discuss your needs and see if an AI Audit is the right step.
