Free · C.A.S.E.™ Pillars Self-Assessment

Is your AI adoption silently eroding workforce trust?

You’ve already adopted AI. That doesn’t mean it’s working. Before you scale further, test your rollout against what actually sustains trust post-deployment.

  • →diagnostic questions across Context, Attunement, Safeguards and Escalation
  • →a score that places you on the C.A.S.E.™ Maturity Model
  • →where gaps show up in the hierarchy, and three actions to take this week
View the maturity model ➜
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The C.A.S.E.™ Maturity Model

Where does your organization actually sit?

Six levels, from fragmented, ungoverned use to a fully Human-Attuned AI Environment: one where governance is anchored at the level of the environment, not bolted onto individual outputs. Your self-assessment score maps to Levels 0–4. Level 5 is verified through conformity assessment.

0
Fragmented AI
Siloed use, ungoverned systems, zero organizational continuity.
Score 4–7
1
Basic Control
Vague policy, loose guardrails, manual inconsistent oversight, zero continuity.
Score 8–11
2
Context Awareness
Internal-only sovereign co-pilots, basic context retention, emerging continuity.
Score 12–14
3
Attuned Intelligence
Active attunement, automated risk-tiering, state-adaptive intelligence.
Score 15–16
4
Governed Systems
Rigorous, auditable governance; low to inconsistent organizational workflow equilibrium.
Score 17–20
5
Human-Attuned AI Environments
High-trust enterprise relational intelligence, with Psychological Safety and Workflow Equilibrium embedded in everyday operations.
Verified

New to the environment-level approach? See how Human-Attuned AI environments are governed ➜

From score to next step

Know your level. Then close the gap.

Pressure-test one AI use case against the four pillars in 90 minutes, or bring your organization’s context to a fit call and we’ll map the steps to Level 4 and beyond.