Method
AI planning, deterministic control, public proof.
The control-loop pattern separates the planner from the authority layer. AI proposes bounded tactics, a validation layer checks them, authoritative systems enforce rules, and telemetry proves what happened.
In the Verdify Lab, AI proposes, firmware controls, and telemetry verifies.
FAQ
Common buyer questions.
What is the point of an AI control loop?
The point is to separate AI planning from operational authority. AI can propose or draft, while validation, deterministic rules, humans, or systems of record decide what actually happens.
How does the greenhouse translate to business workflows?
The greenhouse maps to common business architecture: Iris is the AI planner, the dispatcher is validation, firmware is the authority layer, telemetry is the audit trail, and the scorecard is the expansion decision system.
When should an AI action be allowed to execute?
Execution should only be allowed when the action is explicit, reversible or low consequence, logged, bounded by policy, and supported by review data that proves the workflow is stable.