AI Systems → Signal Processing → Verified Signals → Governance → Authorization Decision → Execution Runtime → Attestation → Verification
1. AI Systems
AI systems generate raw outputs such as:
recommendations
predictions
proposed actions
AI systems do NOT participate in authorization decisions.
2. Signal Processing Layer
Transforms raw AI outputs into structured signals.
Responsibilities:
normalization
schema enforcement
validation preparation
3. Verified Signals
Validated signals that have passed integrity checks.
Only Verified Signals are allowed into Governance.
4. Governance (@parmanasystems/governance)
The deterministic policy evaluation engine.
Responsibilities:
policy evaluation
rule enforcement
authorization computation
Output: Authorization Decision
5. Authorization Decision
A deterministic result produced by Governance.
Possible outcomes:
APPROVE
REJECT
REQUIRE_OVERRIDE
This is the only input allowed for execution.
6. Execution Runtime (@parmanasystems/execution-runtime)
Enforces Authorization Decisions.
Responsibilities:
replay protection (executionId)
execution validation
deterministic enforcement
7. Attestation Layer
Cryptographically signs execution outcomes.
Includes:
decision hash
signal hash
policy version
runtime identity
8. Verification Layer
Allows external parties to independently verify:
Authorization Decisions
execution integrity
full system traceability
No system access is required.
Component Properties
Deterministic
All components produce reproducible outcomes.
Isolated responsibilities
Each layer has a strict functional boundary.
Verifiable
All outputs are cryptographically verifiable.
Secure by design
Invalid inputs are rejected at earliest stage.
Summary
Parmana is a layered system:
AI generates signals
Signal Processing structures them
Governance evaluates them
Execution Runtime enforces decisions
Attestation guarantees integrity
Verification ensures external trust
