Description
Expected Behaviors
Fundamental Awareness
Within strategic planning discussions, professionals classify AI modalities and brainstorm potential use cases applicable to the organization. They map key executive stakeholders involved in AI initiatives and articulate the fundamental value proposition of AI strategies. By referencing foundational operating models, they ensure initial AI concepts align with basic structural requirements.
Novice
During early stage initiative planning, professionals decompose revenue and cost drivers using driver trees to identify specific AI opportunities. They perform situational analyses to map stakeholders and clarify underlying business needs. By assessing potential alternatives and aligning proposed AI solutions with organizational KPIs, they establish a baseline for strategic alignment and stakeholder engagement.
Intermediate
When evaluating potential AI investments, practitioners assess organizational AI maturity and integrate strategic frameworks to determine feasibility. They quantify business value, estimate total cost of ownership, and prioritize initiatives using value-versus-feasibility matrices. By translating technical capabilities into business terms, they develop compelling strategy narratives and propose appropriate capability orchestration models for implementation.
Advanced
Leading comprehensive AI strategy design, leaders model competitive advantages and evaluate use case alignment across the value chain. They build rigorous financial models to calculate ROI, assess risks, and define mitigation plans. To secure executive buy-in, they address stakeholder objections while sequencing strategic roadmaps that balance short-term wins and long-term bets. They also structure talent strategies and integrate AI processes with enterprise platforms.
Expert
As organizational transformation leaders, executives forecast emerging AI trends to sequence multi-year, transformational roadmaps. They orchestrate comprehensive business cases to align AI investments with enterprise funding. By establishing enterprise-wide AI governance frameworks and advocating for strategic shifts at the highest levels, they drive large-scale organizational change, secure critical stakeholder buy-in, and lead sustainable AI transformation.