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Core modules
Five modules. One connected enterprise model.
Each module reads and writes to the same model, so an economic assumption, a data issue, an architecture dependency and a governance decision all describe the same enterprise.
Module 01
AGEE
Know whether the AI investment is worth doing — and under what conditions.
Connect governance with economics.
- Cost
- Benefit
- ROI
- Payback
- NPV
- IRR
- Sensitivity
- Scenarios
Module 02
Data Governance
Know what your AI depends on — and whether it can be trusted.
Govern the data behind the AI.
- Ownership
- Classification
- Quality
- Lineage
- Sensitivity
- AI dependencies
- Data risk
Module 03
AI Enterprise Architecture
Understand where AI lives in the enterprise.
Put AI inside the enterprise architecture.
- Strategy
- Capabilities
- Processes
- Applications
- Data
- Technology
- Infrastructure
- Suppliers
Module 04
Simulation & Scenario Intelligence
Model the consequences before committing to change.
Explore tomorrow before it happens.
- New AI system
- Application replacement
- Regulatory change
- New autonomous agent
- Technology change
- Operational disruption
Module 05
Decision Intelligence
Options → Assumptions → Dependencies → Risks → Impacts → Costs → Benefits → Outcomes.
Make complex decisions visible, explainable and defensible.
- Options
- Assumptions
- Dependencies
- Risks
- Impacts
- Costs
- Benefits
- Outcomes