Dimension 01 of 04
Leadership Vision
AI can't succeed as a side project. It needs a thesis, a sponsor, and a budget.
Leadership Vision measures whether AI is woven into the company's strategy — with clear priorities, funded initiatives, and an executive owner accountable for outcomes.
What we measure
Strategic alignment
AI initiatives trace back to defined business outcomes, not curiosity projects.
Use-case portfolio
A shared, prioritized backlog with rough value estimates and a path to production.
Executive sponsorship
A named executive owner and a funded roadmap — not just a champion with enthusiasm.
Why it matters
Without leadership conviction, AI stays trapped in pilots. Executives who fund, prioritize, and remove blockers turn scattered experiments into compounding capability. The organizations that pull ahead don't necessarily have better technology — they have leaders who treat AI as strategy, not IT.
Maturity signals
Signs of strength
- A documented AI strategy tied to revenue or cost goals
- A portfolio of use cases with owners and value estimates
- A funded roadmap with an accountable executive
- Regular leadership review of AI outcomes
Watch out for
- AI discussed only at the team level
- No dedicated budget — experiments depend on spare capacity
- Champions without authority to scale what works
- Success measured anecdotally, if at all
Experts in this dimension
Practitioners who specialize in leadership vision and can help you close the gaps.
See how your organization scores on leadership vision.