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Autonomous Decision Intelligence

Decision Intelligence as a Service

AI-powered decision cards provide real-time forecasts, risk assessments, and actionable recommendations for critical health security decisions. Each card integrates multiple data sources and frontier AI models to deliver autonomous intelligence.

15
Active Models
24/7
Monitoring
89%
Avg Confidence
2-Week
Forecast Horizon

Active Decision Cards

Live intelligence cards powered by frontier AI models and real-time data streams

2 WEEK FORECAST

Influenza-like Illness Rate

Russia · Week 52, 2024
high RISK
FORECAST VALUE
8.5%
90% CI: 7.2 – 9.8%
72% probability ≥7.0%
vs last week (5.2%): +3.3 pp
Risk Thresholds
High: ≥7.0%
Medium: 5.0 – 6.9%
Low: <5.0%
High risk indicates potential healthcare system strain
Source: WHO surveillance guidelines
Historical Trend (8 weeks)Rising
Model Performance
Skill Score
0.72
vs Baseline
+45%
MAPE
12.3%
Key Drivers
45% of model importance comes from climate variables.
Temperature drop and humidity changes driving transmission.
Climate45%
Epidemiology35%
Social20%
Recommended Actions
  • Activate enhanced surveillance protocols
  • Increase healthcare facility preparedness
  • Deploy targeted public health messaging
Evidence: WHO pandemic preparedness framework
Model: IMACS Forecast Engine v2.1
Generated: 1/16/2026
VACCINE SUPPLY FORECAST

BCG Vaccine Supply Status

Delhi Region · Week 47, 2025
warning
CURRENT STOCK
4,250doses
2.3 weeks of supply
Buffer Stock:85%
Usable Stock:3,612 doses
Reserved:638 doses
STOCKOUT RISK
32%
Within 14 days
-Supply delay expected
-High demand surge
VACCINATION COVERAGE
87%
Target: 90% by end of quarter
COLD CHAIN STATUS
2°C - 8°C
Optimal range maintained
0 temperature excursions in last 30 days
Supply vs Demand Trend (6 weeks)Supply Gap
Supply
Demand
Distribution by Facilities
Central Hospital
1240 doses
District Clinic A
890 doses
Health Center B
320 doses
Rural Clinic C
180 doses
Active Alerts
  • -Next shipment delayed by 3 days
  • -Demand spike in rural areas
  • -Cold chain monitor flagged
Recommended Actions
  • Expedite emergency procurement
  • Redistribute from surplus facilities
  • Activate buffer stock reserves
Model: IMACS Supply Chain Engine v1.8
Confidence:89%

How Decision Intelligence Works

Each decision card integrates data from multiple sources including WHO surveillance, climate data, epidemiological models, and social indicators. Our frontier AI models process this information in real-time to provide forecasts, risk assessments, and evidence-based recommendations.

Data Integration
Real-time multi-source data fusion
AI Processing
Frontier models with 89% avg accuracy
Action Support
Evidence-based recommendations
More decision cards coming soon