Where Deterministic Control Is Required
Norcrest applies deterministic, commit-gated control to systems where AI outputs can become externally effective actions.
This includes AI agents, robotic systems, drones, and automated workflows — where actions must be verified before execution, not monitored after.
Primary application domains
AI Agent Control
Control whether AI agents can send emails, update systems, or execute workflows.
Robot Control Systems
Ensure robotic commands are verified before physical execution.
Drone Control Systems
Verify mission commands before drones execute flight operations.
Core system-level use cases
Verified transaction systems
Transactions become externally effective only after deterministic verification.
High-assurance automation
Automation runs but cannot act until commit conditions are satisfied.
Distributed orchestration
Multi-system workflows require verification before cross-system execution.
Safety-critical systems
Prevent unsafe actions in environments where failure has real-world impact.
High-trust data exchange
Systems accept inputs only when verification evidence is present.
AI governance enforcement
Move from monitoring to enforcement of AI actions before execution.
Why these use cases matter
Without deterministic control
- AI actions execute immediately
- Monitoring happens after the fact
- Failures are discovered late
With deterministic control
- Actions require verification before execution
- Evidence is produced during execution
- Systems become replayable and auditable
From use case to system
These use cases are implemented through Kayllo and delivered via Kayllo Control.