Why pilots stall
Most AI projects fail after pilot because model deployment, retraining, and auditability are not designed into the platform early.
Baseline MLOps stack
- Versioned data and model artifacts.
- Automated validation and deployment promotion.
- Monitoring for drift, performance, and fairness.
Governance approach
Combine technical controls with policy ownership so risk, compliance, and product teams move in sync.
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