Responsible AI
AI that recommends, never decides
Our AI is designed to augment human judgment, not replace it. Every recommendation is explainable, auditable, and overridable.
The No Auto-Write Principle
AXIOMIA never automatically writes to your HR systems. All AI outputs are recommendations that require explicit human approval before any action is taken. This ensures accountability and maintains human agency in all decisions.
Our AI Governance Pillars
Human Oversight
Humans remain in control at every step of the decision process.
- Mandatory approval workflows
- Override with justification
- Escalation paths for edge cases
- Human review of AI performance
Explainability
Every recommendation comes with clear reasoning that humans can understand.
- Natural language explanations
- Contributing factor breakdown
- Confidence scores with context
- Alternative options presented
Fairness & Bias
Active monitoring and mitigation of bias in AI outputs.
- Continuous bias detection
- Demographic impact analysis
- Fairness metrics dashboard
- Regular fairness audits
Auditability
Complete audit trail for all AI-assisted decisions.
- Decision trace logging
- Model version tracking
- Input snapshot preservation
- Proof pack export
Model Governance
How We Manage AI Models
Model Lifecycle
- • Rigorous testing before deployment
- • Staged rollout with monitoring
- • Version control with rollback
- • Deprecation with notice period
Performance Monitoring
- • Accuracy metrics tracking
- • Drift detection alerts
- • Human feedback integration
- • Regular retraining cycles
Training Data
- • No customer data used for training
- • Curated, representative datasets
- • Regular data quality audits
- • Bias review in training data
Third-Party Models
- • Vendor security assessment
- • Data processing agreements
- • Output validation layer
- • Fallback mechanisms