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Chapter 4

Industry/Mission Playbooks

Proven strategies and implementation patterns for five major industries

Industry Coverage

Defense

Healthcare

Financial

Commercial

Public Sector

Industry 1

Defense & Intelligence

Top 3 Burning Problems

1. Multi-Source Intelligence Fusion

Value Lever:

75% reduction in analyst time

Current State:

40+ disparate systems

Target State:

Single operational picture

2. Real-Time Threat Detection

Value Lever:

Hours to minutes response time

Current State:

Manual correlation across systems

Target State:

Automated threat identification

3. Supply Chain Visibility

Value Lever:

$500M+ annual savings

Current State:

Fragmented logistics data

Target State:

End-to-end transparency

Day 30/60/90 Outcome Narrative

Day 30
  • ✓ Ingested 5 critical data sources
  • ✓ Built initial threat dashboard
  • ✓ Identified 3 high-priority use cases
Day 60
  • ✓ Operational pilot with 50 analysts
  • ✓ First automated alerts deployed
  • ✓ 40% reduction in analysis time
Day 90
  • ✓ Full production deployment
  • ✓ 200+ analysts trained
  • ✓ Measurable impact on missions

Compliance Talking Points

FedRAMP High certified
IL4/IL5 capable
NSA Type 1 encryption
Cross-domain solutions
Industry 2

Healthcare & Life Sciences

Top 3 Burning Problems

1. Clinical Trial Optimization

Value Lever:

30% faster patient recruitment

Current State:

Manual patient matching

Target State:

AI-powered cohort identification

2. Hospital Operations Efficiency

Value Lever:

25% reduction in wait times

Current State:

Siloed department data

Target State:

Integrated operations center

3. Fraud, Waste, and Abuse Detection

Value Lever:

$100M+ annual recovery

Current State:

Post-payment audits

Target State:

Real-time detection

Day 30/60/90 Outcome Narrative

Day 30
  • ✓ Connected EHR and claims systems
  • ✓ Built patient flow visualization
  • ✓ Identified bottlenecks in ED
Day 60
  • ✓ Predictive models in production
  • ✓ 15% improvement in bed utilization
  • ✓ Automated prior authorization
Day 90
  • ✓ Hospital-wide deployment
  • ✓ 20% reduction in readmissions
  • ✓ ROI validated by CFO

Compliance Talking Points

HIPAA compliant
HITRUST certified
FDA 21 CFR Part 11
GDPR ready
Industry 3

Financial Services

Top 3 Burning Problems

1. Anti-Money Laundering (AML)

Value Lever:

50% reduction in false positives

Current State:

Rule-based detection

Target State:

ML-powered investigation

2. Trade Surveillance

Value Lever:

Real-time market manipulation detection

Current State:

T+1 analysis

Target State:

Microsecond detection

3. Credit Risk Management

Value Lever:

20% reduction in defaults

Current State:

Backward-looking models

Target State:

Predictive risk scoring

Day 30/60/90 Outcome Narrative

Day 30
  • ✓ Integrated trading and settlement
  • ✓ Built suspicious activity dashboard
  • ✓ Reduced alert backlog by 30%
Day 60
  • ✓ ML models identifying new patterns
  • ✓ 60% reduction in investigation time
  • ✓ Regulator-approved processes
Day 90
  • ✓ Enterprise-wide deployment
  • ✓ $50M in prevented losses
  • ✓ 99% audit compliance
Industry 4

Commercial (Automotive, Energy, Manufacturing)

Automotive

Top Problems:

  • • Supply chain disruption prediction
  • • Quality defect pattern detection
  • • Dealer inventory optimization

Value Proposition:

  • ✓ 15% reduction in warranty claims
  • ✓ 20% improvement in parts availability
  • ✓ 10% increase in dealer satisfaction

Energy

Top Problems:

  • • Predictive maintenance for assets
  • • Grid stability optimization
  • • Renewable energy integration

Value Proposition:

  • ✓ 30% reduction in unplanned downtime
  • ✓ 25% improvement in grid efficiency
  • ✓ 40% faster renewable integration

Manufacturing

Top Problems:

  • • Production line optimization
  • • Quality control automation
  • • Demand forecasting accuracy

Value Proposition:

  • ✓ 20% increase in throughput
  • ✓ 35% reduction in defect rates
  • ✓ 15% improvement in forecast accuracy
Industry 5

Public Sector

Top 3 Burning Problems

1. Benefits Program Integrity

Value Lever:

$1B+ fraud prevention

Current State:

Post-payment recovery

Target State:

Pre-payment prevention

2. Infrastructure Asset Management

Value Lever:

30% maintenance cost reduction

Current State:

Reactive repairs

Target State:

Predictive maintenance

3. Emergency Response Coordination

Value Lever:

40% faster response times

Current State:

Siloed agencies

Target State:

Unified command center

12-Week Implementation Approach

Week 1-2
Discovery
  • • Stakeholder interviews
  • • Data inventory
  • • Use case prioritization
Week 3-4
Prototype
  • • Initial data ingestion
  • • Basic workflows
  • • User feedback
Week 5-8
Pilot
  • • Production data
  • • Real users
  • • Measured outcomes
Week 9-12
Scale
  • • Full deployment
  • • Training program
  • • Change management