Phase I
Open evaluation-based entry
Foundation Operating Environment
Entry-level capability architecture
Decision Frameworks for AI-Augmented Environments
System Mapping & Interconnection Awareness
Foundational Execution Discipline
AI Tool Evaluation & Integration Principles
Phase II
Assessment-gated — Phase I completion required
Advanced Capability Track
Deep system thinking & complex decision environments
Multi-Variable Decision Making Under Uncertainty
Second & Third-Order Effect Analysis
Organizational System Architecture
Advanced AI-Human Collaboration Patterns
Phase III
Institutional application — governance review required
Institutional Operating Layer
Organizational capability infrastructure
Institutional Capability Governance Design
Doctrine-Aligned Operating Systems
Cross-Functional AI Integration Strategy
Capability Assessment Framework Development
Methodology
Our methodology is built on three pillars: structured practice in real operating environments, continuous assessment against capability benchmarks, and guided progression through increasingly complex decision landscapes.
Practice in Context
Continuous Assessment
Guided Progression