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Delivery Phases

The engagement follows a phased approach delivering production-ready increments with value at each milestone.

Phase Overview

PhaseDurationFocusKey Deliverables
Phase 1: BaselineMonths 0-2"We see everything, we store everything"Ingestion layer, raw data viewers, annotation tools
Phase 2: AssistedMonths 2-4"System helps operators notice what matters"AI heuristics, confidence indicators, event lists
Phase 3: CorrelationMonths 4-6"Signals are correlated, not isolated"Multi-sensor correlation, risk prioritization
Phase 4: HardeningMonths 6-9"Production-ready, audit-ready"Dashboards, reporting, data governance
Post-MVPMonths 9-48Continuous improvementAutomation, advanced analytics, predictive

Timeline

    Month 0-2        Month 2-4        Month 4-6        Month 6-9
┌──────────────┬──────────────┬──────────────┬──────────────┐
│ PHASE 1 │ PHASE 2 │ PHASE 3 │ PHASE 4 │
│ Baseline │ Assisted │ Correlation │ Hardening │
│ │ Intelligence │ │ │
│ • Ingest │ • AI │ • Multi- │ • Dash- │
│ • Store │ heuristics│ sensor │ boards │
│ • View │ • Confidence│ fusion │ • Reports │
│ • Annotate │ • Events │ • Priority │ • Audit │
│ │ │ │ │
│ ─────► │ ─────► │ ─────► │ ─────► │
│ Data │ Assisted │ Correlated │ Production │
│ Flows │ Analysis │ Insights │ Ready │
└──────────────┴──────────────┴──────────────┴──────────────┘
↓ ↓ ↓ ↓
Value: Value: Value: Value:
Complete Operator Reduced SLA
Visibility Efficiency False + Compliance

MVP Program (Months 0-9)

Investment: $1.1M - $1.25M

The MVP program delivers a production-ready AI platform with demonstrated accuracy across all 17 use cases:

PhaseInvestmentTeam
Phase 1~$250K4 dedicated resources
Phase 2~$300K4 dedicated resources
Phase 3~$350K4 dedicated resources
Phase 4~$250K4 dedicated resources

Post-MVP (Months 9-48)

Investment: $45K - $55K/month

After MVP completion, the team transitions to a reduced allocation focused on continuous improvement:

CapabilityTimeline
Model accuracy refinementOngoing
New use case developmentAs identified
Integration expansionPer roadmap
Predictive capabilitiesPhase 5+

Phase Gate Criteria

Each phase has explicit completion criteria before proceeding:

Phase 1 → Phase 2

  • All sensor data ingesting successfully
  • Raw data viewers operational
  • Annotation tooling deployed
  • Baseline accuracy established

Phase 2 → Phase 3

  • AI heuristics operational for core use cases
  • Confidence scoring calibrated
  • Event management workflow functional
  • Operator validation complete

Phase 3 → Phase 4

  • Multi-sensor correlation demonstrated
  • False positive rate reduced
  • Risk prioritization operational
  • 80% of use cases meeting accuracy targets

Phase 4 → Post-MVP

  • All 17 use cases at ≥95% accuracy
  • Dashboards deployed to RTIC
  • SAP PM integration operational
  • SLA compliance demonstrated
  • Knowledge transfer complete