Phase 07
Back to AI/ML Services
Continuous Monitoring & Improvement
Continuous feedback gathering and model retraining for ongoing performance tuning.
AI systems need continuous monitoring to prevent model drift and maintain accuracy. We set up real time telemetry dashboards to track conversational success, collect user feedback, flag low-confidence responses for human review and periodically retrain models on new data.
Key Activities
- Real time conversation logs monitoring
- Feedback loop setup (thumbs up/down tracking)
- Weekly classification error analysis
- Model retraining runs
Deliverables
- Analytics & dashboard access
- Weekly performance insight reports
- Retrained model artifacts
- Continuous optimization roadmap
Tools & Technologies
Prometheus & Grafana
ELK Stack
Custom telemetry dashboards
Data annotation tools
Success Metrics
- Identified and resolved intent drift within 48h
- Continuous increment in self service resolution rate
- Consistent user satisfaction rating > 4.5/5
