AI is often a carrier, not the praxis.
AI governance
Praxis for AI Governance
AI can answer before it can own the promise.
Start in the practice language people already use. Then use Praxis to distinguish the signal from the promise, the carrier from the capability, and proof from the status label.
Diagnostic move
Translate the practice into promise work.
An assistant can reply fluently, close a conversation, or classify a request while lacking the evidence or authority needed to resolve it. Praxis asks what AI may carry, what it must not overclaim, and where human ownership remains required.
The question is not whether the familiar artifact exists. The question is whether that artifact witnesses the promise people actually rely on.
- Signal
- The label, state, event, journey step, or metric that says something happened.
- Promise
- What someone treats as true because the product signaled it.
- Carrier
- Where, through whom, or through what the promise was encountered.
- Proof
- Evidence that would matter to the relying person, not only the internal system.
- Repair
- The owner and path when the promise cannot hold.
Translation
How Praxis enters this practice.
Authority, evidence, escalation, and repair must be explicit.
Confident closure without proof is a product trust failure.
Signals to inspect
Start with one label.
AI answered
AI handled this
classified
recommended
Worksheet
Keep the review concrete.
Download the worksheet, choose one signal, and write the proof and repair path before discussing the theory.