Duration: Months 9-48
Investment: $45K - $55K/month
Overview
After MVP completion, the engagement transitions to a continuous improvement model with reduced team allocation focused on accuracy refinement, new capabilities, and platform evolution.
Phases 5-10 Overview
| Phase | Months | Focus |
|---|
| Phase 5 | 9-12 | Stability & refinement |
| Phase 6 | 12-18 | Automation increase |
| Phase 7 | 18-24 | Advanced analytics |
| Phase 8 | 24-30 | Predictive capabilities |
| Phase 9 | 30-36 | Cross-site analytics |
| Phase 10 | 36-48 | Platform maturity |
Post-MVP Capabilities
Continuous Model Improvement
- Ongoing accuracy optimization based on operational data
- New detection patterns as needs emerge
- Edge case handling refinement
- Seasonal and environmental adaptation
Integration Expansion
| Integration | Timeline |
|---|
| SCADA connectivity | Phase 5-6 |
| Genetec Security Desk | Phase 5 |
| Additional enterprise systems | As identified |
Advanced Analytics
| Capability | Timeline |
|---|
| Trend analysis | Phase 6+ |
| Anomaly pattern recognition | Phase 7+ |
| Predictive maintenance indicators | Phase 8+ |
| Cross-site benchmarking | Phase 9+ |
Team Allocation
| Role | Allocation | Focus |
|---|
| AI/Infrastructure Engineer | 100% | Platform maintenance, model updates |
| Frontend Engineer | 20% | Dashboard enhancements |
| Product Manager | 50% | Coordination, roadmap planning |
Evolution Roadmap
Phase 5-6: Stability (Months 9-18)
- Production stability monitoring
- Bug fixes and performance tuning
- User feedback incorporation
- Integration completion
Phase 7-8: Intelligence (Months 18-30)
- Advanced pattern recognition
- Predictive algorithm development
- Automated response workflows
- Self-healing capabilities
Phase 9-10: Maturity (Months 30-48)
- Cross-facility analytics
- Benchmarking dashboards
- Knowledge base automation
- Platform self-optimization