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Executive Framework for AI
The three-pillar framework that transforms executive AI strategy from aspiration to engineered inevitability.
01
Vision
See the exponential
Define the AI-native future state for your organization. This isn't about incremental improvement — it's about fundamentally reimagining how your enterprise creates value.
Key Actions
- Map the AI-native version of every core process
- Identify the 3 highest-leverage transformation points
- Define success metrics that compound, not just grow
- Build the narrative that aligns the organization
02
Execution
Build the machine
Transform vision into operational reality. Deploy the infrastructure, build the team, and create the feedback loops that turn AI investment into compounding returns.
Key Actions
- Deploy the data infrastructure foundation
- Build the AI engineering capability
- Establish the feedback and measurement loops
- Create the governance and risk framework
03
Measurement
Compound the gains
What gets measured gets optimized. Build measurement systems that capture the compound effects of AI transformation, not just the first-order outputs.
Key Actions
- Track compound efficiency metrics, not just cost savings
- Measure decision velocity and quality improvements
- Monitor organizational learning rate acceleration
- Calculate total friction coefficient reduction