Initial

AI interest is real, but nothing yet coordinates it.

Every business begins here. Activity is possible; consistency isn't. This isn't revealed by how mature the business 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.

Across the Five Perspectives at Level 1

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 business 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 business 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.

Tool Categories at This Level

Baseline
Safe
No autonomy and no standing guidance required — safe even before anything else has been coordinated.
Business Assistance
Risky
AI interest is real, but without any shared sense of when to use these tools, outputs get relied on inconsistently.
Process Automation
Avoid
Automating a workflow locks in assumptions before anyone has coordinated what those assumptions should be.
Decision Optimization
Avoid
Shaping judgment calls requires decisions and data that haven't been identified yet at this level.
Autonomous Execution
Avoid
No coordination exists yet to catch a fully autonomous system's failures before they cause harm.

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: Exploring

Find Out Where Your Business Stands

SIMA-Probe measures your current maturity level across all five perspectives and tells you exactly what to address next.