Platform → AI Governance

Responsible AI for talent decisions

AI that augments human judgment, not replaces it. Built-in governance, transparency, and controls for trustworthy HR AI.

Human-in-Loop

AI drafts, humans finalize. Every significant decision has human review and approval before action.

Our Principles

AI that earns trust

Our approach to AI governance is built on four foundational principles.

Human-in-Loop

AI provides recommendations and drafts; humans make final decisions. No autonomous actions on sensitive talent decisions.

Transparency

Explainable AI that shows its reasoning. Users can understand why recommendations are made.

Fairness

Continuous monitoring for bias across protected characteristics. Regular audits and corrective actions.

Accountability

Clear audit trails for all AI-assisted decisions. Know who approved what and when.

Human-in-Loop

AI assists, humans decide

Our human-in-loop approach ensures AI augments human judgment rather than replacing it.

AI drafts feedback, managers review and edit
AI suggests career paths, employees choose
AI identifies successors, leadership validates
AI answers policy questions, cites sources
AI generates JDs, HR approves changes

Configurable Controls

Approval Workflows

Configure which AI outputs require human approval before being shared or applied.

Permission Levels

Control who can access AI features and what actions they can take.

Override Capability

Humans can always override AI recommendations with documented rationale.

Escalation Paths

Define escalation paths for edge cases or sensitive decisions.

Transparency

Explainable AI you can trust

Source Citations

AI agents cite their sources when answering questions, so users can verify information.

Reasoning Visibility

See why AI made specific recommendations, including the factors considered.

Confidence Scores

AI indicates confidence levels in its recommendations, helping users calibrate trust.

Fairness

Proactive bias monitoring

Continuous Monitoring

Automated monitoring of AI outputs for disparate impact across gender, age, ethnicity, and other protected characteristics.

Regular Audits

Scheduled bias audits with documented findings and remediation actions.

Alerting

Automatic alerts when bias metrics exceed defined thresholds.

Model Updates

Continuous model improvement based on monitoring findings and feedback.

Accountability

Complete audit trails

Every AI-assisted decision is logged with full context for compliance and review.

Who requested the AI assistance
What input was provided
What the AI recommended
Who approved or modified it
What final action was taken
Timestamp and context metadata

Compliance Support

EU AI Act Ready

Controls aligned with EU AI Act requirements for high-risk AI systems in employment.

NYC Local Law 144

Bias audit capabilities to support compliance with automated employment decision tools regulations.

EEOC Guidelines

Designed with EEOC technical assistance guidance on AI in employment decisions.

Data Usage

Your data is never used to train our models

No Cross-Customer Training

Your data is never used to train models that serve other customers.

No Third-Party Sharing

Your data is never shared with third parties for any purpose without explicit consent.

Right to Deletion

Request deletion of your data at any time, with verification that deletion is complete.

Ready to learn more about our AI governance?

Talk to our team about how WeSoar ensures responsible AI in HR decisions.