Hold uncertainty.
Do not force proceed/stop when the state is not ready.
When allow/block is not enough.
One wrapper. Across existing systems.
They need to hold uncertainty, re-check evidence, escalate responsibility, or return to a safer path before AI-assisted output becomes operational commitment.
You do not need to disclose confidential information. Start with one public-level workflow where AI output may become action, and where review, evidence, or responsibility is currently difficult to govern.
| Capability | LimFlex | Guardrails / AI Gateway |
Rules / Workflow |
Manual Review |
|---|---|---|---|---|
| Workflow routing | ✓ | ✓ | ✓ | ✓ |
| Policy / I-O control | ✓ | ✓ | ✓ | |
| Responsibility link | ✓ | ✓ | ||
| Judgment states | ✓ | |||
| Graded intervention | ✓ | |||
| HOLD / Re-evaluation | ✓ | |||
| Decision evidence | ✓ | |||
| Cross-system layer | ✓ |
Start small. Keep it public. Test the boundary.
A good first case is where AI helps prepare a decision, but the output should not become action without a governed judgment step.
Keep existing models, agents, and workflows. Add the layer that changes what happens at consequential boundaries.
Do not force proceed/stop when the state is not ready.
Route remaining judgment to a human authority before commitment.
Preserve reasons, rejected options, return conditions, and review traces.
For the broader conceptual map, see Human–AI Collaboration Phase Map.
Public, non-confidential overview. Comparison reflects integrated operating patterns, not every possible configuration. Exploration only; no commercial offer or commitment is initiated through this page.