your ai maturity level
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You’re Early in Your AI Journey

Most organizations begin here—exploring the potential of AI while still working toward leadership alignment, workforce confidence, and workflow readiness. This is the time to set the foundation for long-term success with our AI Maturity Playbook.

Common Challenges

Before you invest in new tools or hire for AI roles, it’s critical to understand what’s slowing you down. Most organizations at this stage face a mix of structural gaps, unclear ownership, and early skepticism. Identifying those early helps you avoid false starts.

  1. AI initiatives lack executive sponsorship or alignment
  2. Teams are unsure how to contribute or where to start
  3. Pilots or tools may be underway, but they’re not integrated into workflows
  4. Success metrics are undefined or tracked inconsistently

What to Prioritize

Once the blockers are clear, focus shifts to building trust, clarity, and capability. At this stage, success comes from narrowing scope, aligning early wins to measurable outcomes, and enabling your team with the support they need to contribute meaningfully.

  1. Align leadership on what AI should achieve (short-term wins + long-term goals)
  2. Create a shared language with frameworks like the AI Maturity Model
  3. Empower non-technical teams to contribute use cases
  4. Focus early efforts on measurable, high-visibility workflows