AI interest is real, but nothing yet coordinates it.
Every organization begins here. Activity is possible; consistency isn't. This isn't revealed by how mature the organization looks on paper — it's revealed by behavior: pull three senior leaders aside separately and ask which AI-influenced decisions matter most right now. At Initial, you get opportunity or competitive pressure, not a specific decision. Success here isn't a strategy document, a policy, or a training program. It's narrowing a vague sense that AI matters down to the small number of specific conditions worth examining first.
Strategy hasn't formed enough to guide decisions. Leaders speak in terms of opportunity or competitive pressure, but nothing yet points at a specific decision. Success here isn't a strategy document — it's narrowing general awareness down to a small number of candidate decisions worth examining.
Governance hasn't meaningfully formed around AI. General risk or compliance practices may exist, but haven't been translated into AI's specific decision conditions. Responsibility is assumed rather than assigned — no one can clearly say who owns an AI-influenced decision before something goes wrong. Success here is establishing that AI governance means decision control, not technology approval.
Data is present but not yet a managed decision asset. Teams can't reliably say what data would be needed to support a given decision. The work here is narrow: identify the small set of data elements that matter most to the first decisions the organization wants to improve.
People don't yet share a frame for AI's role in their work — they can't explain what it's supposed to change, what stays their responsibility, or where judgment is expected. Basic role clarity has to exist before consistent use is realistic.
Technology hasn't formed into a real AI operating environment — tools get tested informally with no stable pattern of organizational use. There's no coherent system to depend on yet. The work is identifying where AI use should begin and what basic conditions need to exist first.
Moving Forward
Advancing from Level 1 to Level 2 requires closing gaps across all five perspectives, not just the most visible ones. SIMA-Probe identifies where you stand; SIMA-Flow structures how you advance.
See Level 2: ExploringSIMA-Probe measures your current maturity level across all five perspectives and tells you exactly what to address next.