AI → Signals → Governance → Authorization Decision → Execution Runtime → Attestation
How it works
1\. AI generates signals
AI systems produce structured signals representing:
proposed actions
recommendations
decisions
2\. Signals are validated
Signals are:
schema validated
normalized
provenance tagged
Only verified signals proceed forward.
3\. Governance evaluates authority
Governance applies:
signed policies
deterministic rules
authorization constraints
It produces a single outcome:
Authorization Decision
4\. Execution is enforced
The Execution Runtime enforces the decision:
approves execution
rejects execution
requires override if needed
No action can bypass this layer.
5\. Attestation is generated
Every decision is cryptographically signed:
policy version
signal hash
runtime identity
executionId
This creates a verifiable audit trail.
What Parmana replaces
Parmana does NOT replace AI systems or workflows.
It replaces implicit trust-based execution with:
Explicit, deterministic, and verifiable authorization.
Key capability
Parmana ensures:
AI cannot directly execute actions
every decision is policy-bound
every execution is traceable
every outcome is cryptographically verifiable
Why this is different
Most systems assume:
If the system allows it, it is allowed.
Parmana enforces:
If it is not explicitly authorized, it cannot execute.
Result
With Parmana:
AI remains intelligence layer
Governance becomes authority layer
Execution becomes controlled layer
Verification becomes external and independent
Summary
Parmana is the missing infrastructure layer that connects:
AI intelligence → safe real-world execution
through deterministic authority verification.