AI → Signals → Governance → Authorization Decision → Execution Runtime → Attestation
What humans control

Humans define authority through:

signed policies
authorization rules
execution constraints

These policies determine what is allowed or denied.

What AI does NOT control

AI systems do NOT:

approve execution
define policies
override governance
execute actions directly

AI is limited to generating signals.

Governance enforces human authority

Governance evaluates:

verified signals
signed human policies

It produces:

Authorization Decision

This decision reflects human-defined authority.

Execution follows authority, not intelligence

Execution is only allowed after authorization:

Authorization Decision → Execution Runtime → Execution

This ensures AI cannot bypass human control.

Why separation matters

If AI had authority:

decisions would be non-deterministic
systems would be non-auditable
execution could not be verified

Separating intelligence from authority ensures system safety.

Key invariant

Authority is defined once by humans
Authority is enforced deterministically by governance
Authority is never inferred by AI

Summary

Parmana ensures:

AI generates signals (intelligence layer)
Humans define authority (policy layer)
Governance enforces authority (decision layer)
Execution Runtime enforces decisions (execution layer)
Attestation proves correctness (verification layer)