AI Audit Readiness
A practical guide to preparing your organization and AI systems for internal and external audits, covering documentation, evidence …
Audit
AI Audit Trail
Immutable logging of AI system decisions, inputs, outputs, and metadata for regulatory compliance, debugging, and accountability.
Automated Accessibility Audit and Fix Suggestions
AI-powered accessibility auditing that goes beyond rule-based checkers, understanding context to suggest meaningful fixes for WCAG …
Compliance as Code for AI Systems
Encoding regulatory requirements as automated checks: policy-as-code with OPA, automated audit trails, model governance, data privacy …
Explainability Pattern - Transparent AI Decision-Making
Middleware and architectural patterns for making AI decisions explainable, auditable, and trustworthy for users, regulators, and internal …
Explainability Service
On-demand model explanations for auditors, regulators, and end users: SHAP, LIME, attention visualization, and counterfactual explanations …
Evidence Bundling Pattern - Collecting and Organizing Proof for AI Decisions
How to design AI systems that collect, organize, and present evidence for their recommendations. Critical for regulated industries and any …