High-Consequence Problems. Measurable Outcomes.

The Challenge

Fragmented patient data across 14 hospital systems created dangerous blind spots during mass-casualty events.

The Approach

Designed a unified operational intelligence platform that aggregated real-time capacity, staffing, and supply chain data into a single command view.

Outcomes

• Reduced incident response coordination time by 62%
• Enabled cross-system resource reallocation during 3 major surge events
• Adopted as the regional standard across a 5-state healthcare coalition

The Challenge

A federal agency lacked visibility into the readiness status of distributed field assets, creating accountability gaps and delayed decision-making.

The Approach

Built a strategy and technology roadmap to transform siloed reporting into a live readiness dashboard, integrating field data with central command systems.

Outcomes

• Delivered full asset visibility across 200+ field locations
• Cut reporting cycle from 72 hours to near real-time
• Informed a $340M modernization investment decision

The Challenge

A multinational logistics operator faced cascading disruptions with no early-warning capability — decisions were reactive and costly.

The Approach

Developed a resilience framework and predictive analytics layer that surfaced supply chain risk signals 48–72 hours before disruption materialized.

Outcomes

• Prevented an estimated $28M in disruption costs in year one
• Reduced reactive escalations by 44%
• Framework licensed to two additional operators in the network