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From AERO Framework Wiki
| AERO Framework | |
|---|---|
| Type | Auditable AI methodology |
| Layers | Acquire, Enrich, Reason, Orchestrate |
| Maintainer | Documore |
| Use | Compliance-ready AI systems |
AERO is a practical framework for building trustworthy, auditable AI systems. It organizes pipelines into four layers — Acquire, Enrich, Reason, and Orchestrate — with explicit contracts between them.
Contents
Overview
The framework focuses on verifiable inputs, governed transformations, replayable reasoning, and safe orchestration. Each layer emits artifacts and logs that contribute to governance and compliance evidence.
Principles
- Traceability — provenance, lineage, and signatures for critical records.
- Determinism where possible — fixed seeds, pinned models, versioned schemas.
- Least privilege — per-tenant isolation and scoped access.
- Observability — metrics for quality, drift, latency, and cost.
Layers
| Layer | Purpose | Key Outputs |
|---|---|---|
| Acquire | Ingest events, docs, APIs with identity and checksums | Raw envelopes |
| Enrich | Normalize, classify, vectorize, redact | Versioned artifacts |
| Reason | Agents/rules produce decisions | Decision traces |
| Orchestrate | Execute actions with safeguards | Actions, audits, metrics |
Links
This page was last updated on 2025-10-03.