Processes in this Phase

5.1 →

Results Evaluation

Assess model results against the success criteria defined in Phase 1. Compare actual performance with expected outcomes and business requirements.

Success Criteria KPIs Performance
5.2 →

Model Validation

Perform rigorous validation using held-out data, stress testing, and edge case analysis to ensure model robustness and generalization.

Validation Set Stress Testing Robustness
5.3 →

Business Value Assessment

Quantify the business impact and ROI of the model. Translate technical metrics into business value and stakeholder-friendly insights.

ROI Analysis Impact Assessment Value Metrics
5.4 →

Bias and Fairness Audit

Evaluate the model for discriminatory outcomes across protected groups. Ensure fairness, accountability, and ethical AI principles are met.

Fairness Metrics Bias Detection Ethics Review
5.5 →

Deployment Readiness Review

Conduct comprehensive go/no-go assessment. Verify all criteria are met for production deployment and document any outstanding risks.

Go/No-Go Readiness Checklist Risk Assessment