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AAE

Autonomous Assurance Engine

1. Identity

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Depends on module:

Purpose

The Autonomous Assurance Engine (AAE) is ZAYAZ’s Tier-0 assurance layer.
It validates, verifies, and certifies sustainability signals produced by other Micro Engines and data pipelines by applying governance, integrity, temporal, and trust checks.

AAE produces assurance meta-signals (e.g. proof statements, anomaly flags, trust scores) that are used for:

regulatory reporting readiness (ESRS, CSRD, etc.),
auditability and third-party verification,
federation-safe disclosure and downstream trust propagation.

This engine is foundational because it:

provides software-of-record assurance outputs attachable to reported metrics,
enforces traceable lineage (“which engines touched this signal”) through USO origin stamps,
enables policy-driven escalation (manual review, re-validation, re-computation) via ZSSR.

Typical usage

Pre-disclosure assurance gating
Validate that ESRS-ready outputs meet minimum completeness and trust thresholds before report compilation.
Runtime trust scoring
Generate trust and anomaly signals as new data or computed outputs arrive.
Governance consistency checks
Verify that disclosures comply with active approvals, policies, and governance snapshots.
Federation verification
Emit portable assurance statements that downstream parties (partners, verifiers, authorities) can independently validate.

Typical inputs

Computed sustainability signals (e.g. GHG totals, intensities) and their lineage metadata
Governance context (approvals, attestations, policy bindings)
Registry references (engine identity, build hashes, schema IDs)

Typical outputs

Assurance statements (pass / fail / warn + reasons)
Trust scores and anomaly flags
Coverage and completeness diagnostics
Recommendations for next action (e.g. VALIDATE_NEXT, MANUAL_REVIEW, RECOMPUTE)

Notes

AAE is policy-invoked, not chained directly like Tier-1–3 calculators.
Tier-1–3 engines must never depend on AAE.
AAE observes and validates their outputs and emits meta-signals consumed by ZSSR and reporting workflows.

2. Engine Semantics (Tier-0 Assurance Engine)

Attribute	Description
Engine Class / Tier	Tier-0 Assurance Engine. Operates outside Tier-1–3 computation chains and validates their outputs.
Signal Type	Meta-signals. AAE consumes computational and governance signals (e.g. TLX, PAL, GSL, CIS, TrustGate) and emits assurance signals (proofs, scores, compliance flags).
USO Role	Defines the origin of all assurance signals. Every assurance result inherits an origin trace such as `uso:aae:proofs.hash_parity@v1` or `uso:aae:gov.approval_compliance@v1`.
ZAR Codes	Each assurance test (micro-check) is versioned and addressable via its own ZAR artifact. These ZARs represent executable assurance modules invoked by AAE.
Invocation Model	Policy-driven. AAE is invoked by ZSSR or governance policy, not chained directly from data signals.

Note
The Autonomous Assurance Engine does not have a CSI.
Instead, it produces multiple assurance signals, each with its own CSI and USO lineage.

3. Conceptual Model

AAE is not a service that verifies things once.
It is a living verification engine inside the MICE network — listening, reasoning, and asserting machine-verifiable assurance signals continuously.

[ TLX events ]
     ↓
  (ZSSR router)
     ↓
[ MICE: AAE Engine ]
     ├── Proof Validator (ZAR-1001)
     ├── Governance Auditor (ZAR-1002)
     ├── Temporal Consistency Checker (ZAR-1003)
     ├── Trust Anomaly Detector (ZAR-1004)
     ↓
[ Assurance Statement (Signal) → TLX & ETN ]

Each of these is a micro-engine module inside the AAE “ship”, callable individually or orchestrated together.

4. Internal MICE Composition (AAE MIB)

This section describes the internal micro-engine composition of AAE. These sub-engines are not independently routable by ZSSR; they are orchestrated exclusively by the AAE control plane.

Micro Engine	Purpose	USO Reference	CMI Example
ProofValidator	Verifies TLX → PAL → DAL linkage and Merkle inclusion	`uso:aae:proofs.hash_parity@v1`	`AAE.Validator.Proof.1_0_0`
GovernanceAuditor	Checks disclosures against active GSL approvals	`uso:aae:gov.approval_validity@v1`	`AAE.Audit.Governance.1_0_0`
TemporalContinuity	Validates PAL block intervals and ordering	`uso:aae:temporal.continuity@v1`	`AAE.Validator.Time.1_0_0`
TrustAnomalyDetector	Cross-checks AI trust calibration curves for drift	`uso:aae:trust.anomaly@v1`	`AAE.Detector.Trust.1_0_0`
StatementPublisher	Issues signed assurance statements	`uso:aae:meta.statement@v1`	`AAE.Publisher.Statement.1_0_0`

Each sub-engine can run standalone or be invoked by the AAE Orchestrator, a MICE router sub-agent responsible for scheduling and execution.

5. Integration Points

Source System	Interface	Function
TLX	`/tx_events`, `/proofs/{tx_id}`	Feed assurance data, validate Merkle inclusion
PAL	`/blocks`, `/verify`	Check block parity and DAL references
GSL	Kafka topic `gsl.approvals.v1`	Validate governance constraints
CIS	`/ trust_curves API`	Cross-check predicted trust decay curves
TrustGate	`trust_events` stream	Feed current trust thresholds and signal tails
ETN	`/publish/assurance`	Receive assurance statements for disclosure

6. Placement in the Overall System

┌────────────────────────────────────────────────────────────┐
│                MICE CLUSTER (Micro Engines)                │
│────────────────────────────────────────────────────────────│
│ eco.mice.analytics.cis-engine                              │
│ eco.mice.validation.trustgate-engine                       │
│ eco.mice.governance.eaa-gsl-engine                         │
│ → eco.mice.assurance.aae-engine   ← Autonomous Assurance   │
│ eco.mice.discovery.tlx-etn-reasoner                        │
└────────────────────────────────────────────────────────────┘

AAE receives signals from all other engines and emits assurance signals back into TLX and ETN, completing the closed assurance loop of ZAYAZ.

7. High-Level Data Flow

TLX emits a tx_event → AAE subscribes.
AAE queries:

/tlx/v1/records
/tlx/v1/proofs/{tx_id}
/pal/v1/blocks/{block_id}
/gsl/v1/approvals

Executes all registered assurance modules.
Publishes an assurance statement:

assurance-statement.jsonGitHub ↗
{
  "assurance_id": "AAE-2025Q4-TEN001",
  "verified_at": "2025-10-26T12:00:00Z",
  "coverage": "TLX→PAL→DAL",
  "tests": [
    { "id": "hash_parity", "result": "pass" },
    { "id": "approval_validity", "result": "pass" },
    { "id": "block_interval", "result": "pass" },
    { "id": "trust_curve_anomaly", "result": "warn" }
  ],
  "score": 0.97,
  "issued_by": "aae-engine@zayaz",
  "signature": "…"
}

TLX exposes the result via /tlx/v1/assurance/latest.

Summary

The Autonomous Assurance Engine is the trust anchor of the ZAYAZ platform.

It transforms raw computation into verifiable, governable, and federatable truth, ensuring that every disclosed metric can be traced, validated, and defended — by machines first, and humans when needed.

GitHub Repo Request for Change (RFC)

1. Identity​

Purpose​

Typical usage​

Typical inputs​

Typical outputs​

Notes​

2. Engine Semantics (Tier-0 Assurance Engine)​

3. Conceptual Model​

4. Internal MICE Composition (AAE MIB)​

5. Integration Points​

6. Placement in the Overall System​

7. High-Level Data Flow​